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4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;github_copilot&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;github_copilot_link_product_navbar&quot;}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;security&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;security_link_product_navbar&quot;}" href="https://github.com/features/security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;actions&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;actions_link_product_navbar&quot;}" href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 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1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;issues&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;issues_link_product_navbar&quot;}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;code_review&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;code_review_link_product_navbar&quot;}" href="https://github.com/features/code-review"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-review color-fg-subtle mr-3"> <path d="M10.3 6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 .75.75v3.19l3.72-3.72a.749.749 0 0 1 .53-.22h10a.25.25 0 0 0 .25-.25V4.25a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Review</div> Manage code changes </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;discussions&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;discussions_link_product_navbar&quot;}" href="https://github.com/features/discussions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-comment-discussion color-fg-subtle mr-3"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 14.25 14H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Discussions</div> Collaborate outside of code </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;code_search&quot;,&quot;context&quot;:&quot;product&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;code_search_link_product_navbar&quot;}" href="https://github.com/features/code-search"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="product-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" 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href="/solutions/industry/healthcare"> Healthcare </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;financial_services&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;financial_services_link_solutions_navbar&quot;}" href="/solutions/industry/financial-services"> Financial services </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;manufacturing&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;manufacturing_link_solutions_navbar&quot;}" href="/solutions/industry/manufacturing"> Manufacturing </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;government&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;government_link_solutions_navbar&quot;}" href="/solutions/industry/government"> Government </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;view_all_industries&quot;,&quot;context&quot;:&quot;solutions&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;view_all_industries_link_solutions_navbar&quot;}" href="/solutions/industry"> View all industries </a></li> </ul> </div> </div> <div class="HeaderMenu-trailing-link rounded-bottom-2 flex-shrink-0 mt-lg-4 px-lg-4 py-4 py-lg-3 f5 text-semibold"> <a href="/solutions"> View all solutions <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right HeaderMenu-trailing-link-icon"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Resources <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 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7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;white_papers_ebooks_webinars&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;white_papers_ebooks_webinars_link_resources_navbar&quot;}" href="https://resources.github.com"> White papers, Ebooks, Webinars <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;customer_stories&quot;,&quot;context&quot;:&quot;resources&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;customer_stories_link_resources_navbar&quot;}" href="https://github.com/customer-stories"> Customer Stories </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" 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0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;enterprise_platform&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;enterprise_platform_link_enterprise_navbar&quot;}" href="/enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-stack color-fg-subtle mr-3"> <path d="M11.063 1.456a1.749 1.749 0 0 1 1.874 0l8.383 5.316a1.751 1.751 0 0 1 0 2.956l-8.383 5.316a1.749 1.749 0 0 1-1.874 0L2.68 9.728a1.751 1.751 0 0 1 0-2.956Zm1.071 1.267a.25.25 0 0 0-.268 0L3.483 8.039a.25.25 0 0 0 0 .422l8.383 5.316a.25.25 0 0 0 .268 0l8.383-5.316a.25.25 0 0 0 0-.422Z"></path><path d="M1.867 12.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path><path d="M1.867 16.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path> </svg> <div> <div class="color-fg-default h4">Enterprise platform</div> AI-powered developer platform </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="enterprise-available-add-ons-heading">Available add-ons</span> <ul class="list-style-none f5" aria-labelledby="enterprise-available-add-ons-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;advanced_security&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;advanced_security_link_enterprise_navbar&quot;}" href="https://github.com/enterprise/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Advanced Security</div> Enterprise-grade security features </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;github_copilot&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;github_copilot_link_enterprise_navbar&quot;}" href="/features/copilot#enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Enterprise-grade AI features </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;premium_support&quot;,&quot;context&quot;:&quot;enterprise&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;premium_support_link_enterprise_navbar&quot;}" href="/premium-support"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-comment-discussion color-fg-subtle mr-3"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 14.25 14H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Premium Support</div> Enterprise-grade 24/7 support </div> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <a class="HeaderMenu-link no-underline px-0 px-lg-2 py-3 py-lg-2 d-block d-lg-inline-block" data-analytics-event="{&quot;location&quot;:&quot;navbar&quot;,&quot;action&quot;:&quot;pricing&quot;,&quot;context&quot;:&quot;global&quot;,&quot;tag&quot;:&quot;link&quot;,&quot;label&quot;:&quot;pricing_link_global_navbar&quot;}" href="https://github.com/pricing">Pricing</a> </li> </ul> </nav> <div class="d-flex flex-column flex-lg-row width-full flex-justify-end flex-lg-items-center 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8.351a1.312 1.312 0 0 1-1.146 1.954H1.33A1.313 1.313 0 0 1 .183 9.058ZM7 7V3H5v4Zm-1 3a1 1 0 1 0 0-2 1 1 0 0 0 0 2Z"></path> </svg> </span> <span></span> </div> </div> <div data-target="query-builder.screenReaderFeedback" aria-live="polite" aria-atomic="true" class="sr-only"></div> </query-builder></form> <div class="d-flex flex-row color-fg-muted px-3 text-small color-bg-default search-feedback-prompt"> <a target="_blank" href="https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax" data-view-component="true" class="Link color-fg-accent text-normal ml-2"> Search syntax tips </a> <div class="d-flex flex-1"></div> </div> </div> </div> </div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" 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3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="feedback-dialog-title"> <div data-view-component="true" class="Overlay-body"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="code-search-feedback-form" data-turbo="false" action="/search/feedback" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="q1fkxloErL4UcaCXwHa/4IXecVOgH5SGTg0Xp3Y5nv8gBhSbFhUifo7js1DCmm+Nx5CRihiRnD0bq1yr8CbrVw==" /> <p>We read every piece of feedback, and take your input very seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="MZ2/4muNaLucF9KwQVASSN5wKkoV1BiJPuHhFJWdrmuuOU9JtcSBzRBY2wA/xvGN484vwxdK35Vkp7MA7zsX2w==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" id="custom_scope_id" name="custom_scope_id" data-target="custom-scopes.customScopesIdField"> <div class="form-group"> <label for="custom_scope_name">Name</label> <auto-check src="/search/custom_scopes/check_name" required> <input type="text" name="custom_scope_name" id="custom_scope_name" data-target="custom-scopes.customScopesNameField" class="form-control" autocomplete="off" placeholder="github-ruby" required maxlength="50"> <input type="hidden" data-csrf="true" value="pDswENUwguf7PeKJoolU6toXrGjiO58FQ4eWCqIYV8SbJARiiVNonjaMgArpaba+EafqAne1QXy7AYv+Xl6H/A==" /> </auto-check> </div> <div class="form-group"> <label for="custom_scope_query">Query</label> <input type="text" name="custom_scope_query" id="custom_scope_query" data-target="custom-scopes.customScopesQueryField" class="form-control" autocomplete="off" placeholder="(repo:mona/a OR repo:mona/b) AND lang:python" required maxlength="500"> </div> <p class="text-small color-fg-muted"> To see all available qualifiers, see our <a class="Link--inTextBlock" href="https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax">documentation</a>. </p> </form> </div> <div data-target="custom-scopes.manageCustomScopesForm"> <div data-target="custom-scopes.list"></div> </div> </div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd Overlay-footer--divided"> <button data-action="click:custom-scopes#customScopesCancel" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="custom-scopes-dialog-form" data-action="click:custom-scopes#customScopesSubmit" data-target="custom-scopes.customScopesSubmitButton" type="submit" data-view-component="true" class="btn-primary btn"> Create saved search </button> </div> </dialog></dialog-helper> </custom-scopes> </div> </qbsearch-input> <div class="position-relative HeaderMenu-link-wrap d-lg-inline-block"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2FMozilla-Ocho%2Fllamafile" class="HeaderMenu-link HeaderMenu-link--sign-in HeaderMenu-button flex-shrink-0 no-underline d-none d-lg-inline-flex border border-lg-0 rounded rounded-lg-0 px-2 py-1" style="margin-left: 12px;" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header menu&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/Mozilla-Ocho/llamafile&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="2a735482ef9630fe9b92837eaf6fde85cf35a1eef5a86289ee588c4ee4cdb709" data-analytics-event="{&quot;category&quot;:&quot;Marketing nav&quot;,&quot;action&quot;:&quot;click to go to homepage&quot;,&quot;label&quot;:&quot;ref_page:Marketing;ref_cta:Sign in;ref_loc:Header&quot;}" > Sign in </a> </div> <a href="/signup?ref_cta=Sign+up&amp;ref_loc=header+logged+out&amp;ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&amp;source=header-repo&amp;source_repo=Mozilla-Ocho%2Fllamafile" class="HeaderMenu-link HeaderMenu-link--sign-up HeaderMenu-button flex-shrink-0 d-flex d-lg-inline-flex no-underline border color-border-default rounded px-2 py-1" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;site header menu&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;SIGN_UP&quot;,&quot;originating_url&quot;:&quot;https://github.com/Mozilla-Ocho/llamafile&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="2a735482ef9630fe9b92837eaf6fde85cf35a1eef5a86289ee588c4ee4cdb709" data-analytics-event="{&quot;category&quot;:&quot;Sign up&quot;,&quot;action&quot;:&quot;click to sign up for account&quot;,&quot;label&quot;:&quot;ref_page:/&lt;user-name&gt;/&lt;repo-name&gt;;ref_cta:Sign up;ref_loc:header logged out&quot;}" > Sign up </a> <button type="button" class="sr-only js-header-menu-focus-trap d-block d-lg-none">Reseting focus</button> </div> </div> </div> </div> </header> <div hidden="hidden" data-view-component="true" class="js-stale-session-flash stale-session-flash flash flash-warn flash-full"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert"> <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> </svg> <span class="js-stale-session-flash-signed-in" hidden>You signed in with another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <span class="js-stale-session-flash-signed-out" hidden>You signed out in another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <span class="js-stale-session-flash-switched" hidden>You switched accounts on another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <button id="icon-button-c0e4f313-9554-4d59-b7b3-6d5da0be3010" aria-labelledby="tooltip-3c5cc7d5-88ed-415b-b879-bd25091784cb" type="button" data-view-component="true" class="Button Button--iconOnly Button--invisible Button--medium flash-close js-flash-close"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x Button-visual"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button><tool-tip id="tooltip-3c5cc7d5-88ed-415b-b879-bd25091784cb" for="icon-button-c0e4f313-9554-4d59-b7b3-6d5da0be3010" popover="manual" data-direction="s" data-type="label" data-view-component="true" class="sr-only position-absolute">Dismiss alert</tool-tip> </div> </div> <div id="start-of-content" class="show-on-focus"></div> <div id="js-flash-container" class="flash-container" data-turbo-replace> <template class="js-flash-template"> <div class="flash flash-full {{ className }}"> <div > <button autofocus class="flash-close js-flash-close" type="button" aria-label="Dismiss this message"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> <div aria-atomic="true" role="alert" class="js-flash-alert"> <div>{{ message }}</div> </div> </div> </div> </template> </div> <div class="application-main " data-commit-hovercards-enabled data-discussion-hovercards-enabled data-issue-and-pr-hovercards-enabled > <div itemscope itemtype="http://schema.org/SoftwareSourceCode" class=""> <main id="js-repo-pjax-container" > <div id="repository-container-header" class="pt-3 hide-full-screen" style="background-color: var(--page-header-bgColor, var(--color-page-header-bg));" data-turbo-replace> <div class="d-flex flex-nowrap flex-justify-end mb-3 px-3 px-lg-5" style="gap: 1rem;"> <div class="flex-auto min-width-0 width-fit"> <div class=" d-flex flex-wrap flex-items-center wb-break-word f3 text-normal"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> <span class="author flex-self-stretch" itemprop="author"> <a class="url fn" rel="author" data-hovercard-type="organization" data-hovercard-url="/orgs/Mozilla-Ocho/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="/Mozilla-Ocho"> Mozilla-Ocho </a> </span> <span class="mx-1 flex-self-stretch color-fg-muted">/</span> <strong itemprop="name" class="mr-2 flex-self-stretch"> <a data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/Mozilla-Ocho/llamafile">llamafile</a> </strong> <span></span><span class="Label Label--secondary v-align-middle mr-1">Public</span> </div> </div> <div id="repository-details-container" class="flex-shrink-0" data-turbo-replace style="max-width: 70%;"> <ul class="pagehead-actions flex-shrink-0 d-none d-md-inline" style="padding: 2px 0;"> <li> <a href="/login?return_to=%2FMozilla-Ocho%2Fllamafile" rel="nofollow" id="repository-details-watch-button" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;notification subscription menu watch&quot;,&quot;repository_id&quot;:null,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/Mozilla-Ocho/llamafile&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="ca46ddb7f7e7be4451862f16ef5ebb5ea214fe4cb3ed5f38e490548549c7f6ce" aria-label="You must be signed in to change notification settings" data-view-component="true" class="btn-sm btn"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-bell mr-2"> <path d="M8 16a2 2 0 0 0 1.985-1.75c.017-.137-.097-.25-.235-.25h-3.5c-.138 0-.252.113-.235.25A2 2 0 0 0 8 16ZM3 5a5 5 0 0 1 10 0v2.947c0 .05.015.098.042.139l1.703 2.555A1.519 1.519 0 0 1 13.482 13H2.518a1.516 1.516 0 0 1-1.263-2.36l1.703-2.554A.255.255 0 0 0 3 7.947Zm5-3.5A3.5 3.5 0 0 0 4.5 5v2.947c0 .346-.102.683-.294.97l-1.703 2.556a.017.017 0 0 0-.003.01l.001.006c0 .002.002.004.004.006l.006.004.007.001h10.964l.007-.001.006-.004.004-.006.001-.007a.017.017 0 0 0-.003-.01l-1.703-2.554a1.745 1.745 0 0 1-.294-.97V5A3.5 3.5 0 0 0 8 1.5Z"></path> </svg>Notifications </a> <tool-tip id="tooltip-745e0726-11f2-4aa4-afea-581a3b93b2c5" for="repository-details-watch-button" popover="manual" data-direction="s" data-type="description" data-view-component="true" class="sr-only position-absolute">You must be signed in to change notification settings</tool-tip> </li> <li> <a icon="repo-forked" id="fork-button" href="/login?return_to=%2FMozilla-Ocho%2Fllamafile" rel="nofollow" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;repo details fork button&quot;,&quot;repository_id&quot;:689773665,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/Mozilla-Ocho/llamafile&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="233901ad02871f2dd772b2833cbcb517afa1a0b5738e25fa9ccf9e54389dea5d" data-view-component="true" class="btn-sm btn"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg>Fork <span id="repo-network-counter" data-pjax-replace="true" data-turbo-replace="true" title="1,038" data-view-component="true" class="Counter">1k</span> </a> </li> <li> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2FMozilla-Ocho%2Fllamafile" rel="nofollow" data-hydro-click="{&quot;event_type&quot;:&quot;authentication.click&quot;,&quot;payload&quot;:{&quot;location_in_page&quot;:&quot;star button&quot;,&quot;repository_id&quot;:689773665,&quot;auth_type&quot;:&quot;LOG_IN&quot;,&quot;originating_url&quot;:&quot;https://github.com/Mozilla-Ocho/llamafile&quot;,&quot;user_id&quot;:null}}" data-hydro-click-hmac="b708fe952a0137de7038342bfeb3ee28a06e9b222f725432f60b2ccfc4df469c" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="20582 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="20,582" data-view-component="true" class="Counter js-social-count">20.6k</span> </a></div> </li> </ul> </div> </div> <div id="responsive-meta-container" data-turbo-replace> <div class="d-block d-md-none mb-2 px-3 px-md-4 px-lg-5"> <p class="f4 mb-3 "> Distribute and run LLMs with a single file. </p> <div class="mb-2 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data-target="react-partial.embeddedData">{"props":{"initialPayload":{"allShortcutsEnabled":false,"path":"/","repo":{"id":689773665,"defaultBranch":"main","name":"llamafile","ownerLogin":"Mozilla-Ocho","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2023-09-10T21:12:32.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/117940224?v=4","public":true,"private":false,"isOrgOwned":true},"currentUser":null,"refInfo":{"name":"main","listCacheKey":"v0:1732303680.0","canEdit":false,"refType":"branch","currentOid":"fb59488b7f2ca16899adc75e50bf252ca3e597af"},"tree":{"items":[{"name":".github","path":".github","contentType":"directory"},{"name":"build","path":"build","contentType":"directory"},{"name":"double-conversion","path":"double-conversion","contentType":"directory"},{"name":"llama.cpp","path":"llama.cpp","contentType":"directory"},{"name":"llamafile","path":"llamafile","contentType":"directory"},{"name":"models","path":"models","contentType":"directory"},{"name":"stable-diffusion.cpp","path":"stable-diffusion.cpp","contentType":"directory"},{"name":"stb","path":"stb","contentType":"directory"},{"name":"whisper.cpp","path":"whisper.cpp","contentType":"directory"},{"name":".gitignore","path":".gitignore","contentType":"file"},{"name":"LICENSE","path":"LICENSE","contentType":"file"},{"name":"Makefile","path":"Makefile","contentType":"file"},{"name":"README.md","path":"README.md","contentType":"file"}],"templateDirectorySuggestionUrl":null,"readme":null,"totalCount":13,"showBranchInfobar":false},"fileTree":null,"fileTreeProcessingTime":null,"foldersToFetch":[],"treeExpanded":false,"symbolsExpanded":false,"isOverview":true,"overview":{"banners":{"shouldRecommendReadme":false,"isPersonalRepo":false,"showUseActionBanner":false,"actionSlug":null,"actionId":null,"showProtectBranchBanner":false,"publishBannersInfo":{"dismissActionNoticePath":"/settings/dismiss-notice/publish_action_from_repo","releasePath":"/Mozilla-Ocho/llamafile/releases/new?marketplace=true","showPublishActionBanner":false},"interactionLimitBanner":null,"showInvitationBanner":false,"inviterName":null,"actionsMigrationBannerInfo":{"releaseTags":[],"showImmutableActionsMigrationBanner":false,"initialMigrationStatus":null}},"codeButton":{"contactPath":"/contact","isEnterprise":false,"local":{"protocolInfo":{"httpAvailable":true,"sshAvailable":null,"httpUrl":"https://github.com/Mozilla-Ocho/llamafile.git","showCloneWarning":null,"sshUrl":null,"sshCertificatesRequired":null,"sshCertificatesAvailable":null,"ghCliUrl":"gh 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dir=\"auto\"\u003ellamafile\u003c/h1\u003e\u003ca id=\"user-content-llamafile\" class=\"anchor\" aria-label=\"Permalink: llamafile\" href=\"#llamafile\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/Mozilla-Ocho/llamafile/actions/workflows/ci.yml\"\u003e\u003cimg src=\"https://github.com/Mozilla-Ocho/llamafile/actions/workflows/ci.yml/badge.svg\" alt=\"ci status\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003cbr\u003e\n\u003ca href=\"https://discord.gg/YuMNeuKStr\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/a0947f762ae88471af50fd5e00e7aa289d831c6b2abc76b81a4f1d58474c4557/68747470733a2f2f646362616467652e76657263656c2e6170702f6170692f7365727665722f59754d4e65754b537472\" alt=\"\" data-canonical-src=\"https://dcbadge.vercel.app/api/server/YuMNeuKStr\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003cbr\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/Mozilla-Ocho/llamafile/blob/main/llamafile/llamafile-640x640.png\"\u003e\u003cimg src=\"/Mozilla-Ocho/llamafile/raw/main/llamafile/llamafile-640x640.png\" width=\"320\" height=\"320\" alt=\"[line drawing of llama animal head in front of slightly open manilla folder filled with files]\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003ellamafile lets you distribute and run LLMs with a single file. (\u003ca href=\"https://hacks.mozilla.org/2023/11/introducing-llamafile/\" rel=\"nofollow\"\u003eannouncement blog post\u003c/a\u003e)\u003c/strong\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOur goal is to make open LLMs much more\naccessible to both developers and end users. We're doing that by\ncombining \u003ca href=\"https://github.com/ggerganov/llama.cpp\"\u003ellama.cpp\u003c/a\u003e with \u003ca href=\"https://github.com/jart/cosmopolitan\"\u003eCosmopolitan Libc\u003c/a\u003e into one\nframework that collapses all the complexity of LLMs down to\na single-file executable (called a \"llamafile\") that runs\nlocally on most computers, with no installation.\u003cbr\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://future.mozilla.org\" rel=\"nofollow\"\u003e\u003cimg src=\"/Mozilla-Ocho/llamafile/raw/main/llamafile/mozilla-logo-bw-rgb.png\" width=\"150\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003cbr\u003e\nllamafile is a Mozilla Builders project.\u003cbr\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuickstart\u003c/h2\u003e\u003ca id=\"user-content-quickstart\" class=\"anchor\" aria-label=\"Permalink: Quickstart\" href=\"#quickstart\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe easiest way to try it for yourself is to download our example\nllamafile for the \u003ca href=\"https://llava-vl.github.io/\" rel=\"nofollow\"\u003eLLaVA\u003c/a\u003e model (license: \u003ca href=\"https://ai.meta.com/resources/models-and-libraries/llama-downloads/\" rel=\"nofollow\"\u003eLLaMA 2\u003c/a\u003e,\n\u003ca href=\"https://openai.com/policies/terms-of-use\" rel=\"nofollow\"\u003eOpenAI\u003c/a\u003e). LLaVA is a new LLM that can do more\nthan just chat; you can also upload images and ask it questions\nabout them. With llamafile, this all happens locally; no data\never leaves your computer.\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eDownload \u003ca href=\"https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile/resolve/main/llava-v1.5-7b-q4.llamafile?download=true\" rel=\"nofollow\"\u003ellava-v1.5-7b-q4.llamafile\u003c/a\u003e (4.29 GB).\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eOpen your computer's terminal.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eIf you're using macOS, Linux, or BSD, you'll need to grant permission\nfor your computer to execute this new file. (You only need to do this\nonce.)\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"chmod +x llava-v1.5-7b-q4.llamafile\"\u003e\u003cpre\u003echmod +x llava-v1.5-7b-q4.llamafile\u003c/pre\u003e\u003c/div\u003e\n\u003col start=\"4\" dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eIf you're on Windows, rename the file by adding \".exe\" on the end.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eRun the llamafile. e.g.:\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"./llava-v1.5-7b-q4.llamafile\"\u003e\u003cpre\u003e./llava-v1.5-7b-q4.llamafile\u003c/pre\u003e\u003c/div\u003e\n\u003col start=\"6\" dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eYour browser should open automatically and display a chat interface.\n(If it doesn't, just open your browser and point it at \u003ca href=\"http://localhost:8080\" rel=\"nofollow\"\u003ehttp://localhost:8080\u003c/a\u003e)\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eWhen you're done chatting, return to your terminal and hit\n\u003ccode\u003eControl-C\u003c/code\u003e to shut down llamafile.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eHaving trouble? See the \"Gotchas\" section below.\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eJSON API Quickstart\u003c/h3\u003e\u003ca id=\"user-content-json-api-quickstart\" class=\"anchor\" aria-label=\"Permalink: JSON API Quickstart\" href=\"#json-api-quickstart\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWhen llamafile is started, in addition to hosting a web\nUI chat server at \u003ca href=\"http://127.0.0.1:8080/\" rel=\"nofollow\"\u003ehttp://127.0.0.1:8080/\u003c/a\u003e, an \u003ca href=\"https://platform.openai.com/docs/api-reference/chat\" rel=\"nofollow\"\u003eOpenAI\nAPI\u003c/a\u003e compatible\nchat completions endpoint is provided too. It's designed to support the\nmost common OpenAI API use cases, in a way that runs entirely locally.\nWe've also extended it to include llama.cpp specific features (e.g.\nmirostat) that may also be used. For further details on what fields and\nendpoints are available, refer to both the \u003ca href=\"https://platform.openai.com/docs/api-reference/chat/create\" rel=\"nofollow\"\u003eOpenAI\ndocumentation\u003c/a\u003e\nand the \u003ca href=\"/Mozilla-Ocho/llamafile/blob/main/llama.cpp/server/README.md#api-endpoints\"\u003ellamafile server\nREADME\u003c/a\u003e.\u003c/p\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCurl API Client Example\u003c/summary\u003e\n\u003cp dir=\"auto\"\u003eThe simplest way to get started using the API is to copy and paste the\nfollowing curl command into your terminal.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"curl http://localhost:8080/v1/chat/completions \\\n-H \u0026quot;Content-Type: application/json\u0026quot; \\\n-H \u0026quot;Authorization: Bearer no-key\u0026quot; \\\n-d '{\n \u0026quot;model\u0026quot;: \u0026quot;LLaMA_CPP\u0026quot;,\n \u0026quot;messages\u0026quot;: [\n {\n \u0026quot;role\u0026quot;: \u0026quot;system\u0026quot;,\n \u0026quot;content\u0026quot;: \u0026quot;You are LLAMAfile, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.\u0026quot;\n },\n {\n \u0026quot;role\u0026quot;: \u0026quot;user\u0026quot;,\n \u0026quot;content\u0026quot;: \u0026quot;Write a limerick about python exceptions\u0026quot;\n }\n ]\n}' | python3 -c '\nimport json\nimport sys\njson.dump(json.load(sys.stdin), sys.stdout, indent=2)\nprint()\n'\"\u003e\u003cpre\u003ecurl http://localhost:8080/v1/chat/completions \\\n-H \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eContent-Type: application/json\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e \\\n-H \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eAuthorization: Bearer no-key\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e \\\n-d \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e{\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"model\": \"LLaMA_CPP\",\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"messages\": [\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e {\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"role\": \"system\",\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"content\": \"You are LLAMAfile, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.\"\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e },\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e {\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"role\": \"user\",\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e \"content\": \"Write a limerick about python exceptions\"\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e }\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e ]\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e}\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"pl-k\"\u003e|\u003c/span\u003e python3 -c \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eimport json\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eimport sys\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ejson.dump(json.load(sys.stdin), sys.stdout, indent=2)\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eprint()\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe response that's printed should look like the following:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-json notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"{\n \u0026quot;choices\u0026quot; : [\n {\n \u0026quot;finish_reason\u0026quot; : \u0026quot;stop\u0026quot;,\n \u0026quot;index\u0026quot; : 0,\n \u0026quot;message\u0026quot; : {\n \u0026quot;content\u0026quot; : \u0026quot;There once was a programmer named Mike\\nWho wrote code that would often choke\\nHe used try and except\\nTo handle each step\\nAnd his program ran without any hike.\u0026quot;,\n \u0026quot;role\u0026quot; : \u0026quot;assistant\u0026quot;\n }\n }\n ],\n \u0026quot;created\u0026quot; : 1704199256,\n \u0026quot;id\u0026quot; : \u0026quot;chatcmpl-Dt16ugf3vF8btUZj9psG7To5tc4murBU\u0026quot;,\n \u0026quot;model\u0026quot; : \u0026quot;LLaMA_CPP\u0026quot;,\n \u0026quot;object\u0026quot; : \u0026quot;chat.completion\u0026quot;,\n \u0026quot;usage\u0026quot; : {\n \u0026quot;completion_tokens\u0026quot; : 38,\n \u0026quot;prompt_tokens\u0026quot; : 78,\n \u0026quot;total_tokens\u0026quot; : 116\n }\n}\"\u003e\u003cpre\u003e{\n \u003cspan class=\"pl-ent\"\u003e\"choices\"\u003c/span\u003e : [\n {\n \u003cspan class=\"pl-ent\"\u003e\"finish_reason\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003estop\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"index\"\u003c/span\u003e : \u003cspan class=\"pl-c1\"\u003e0\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"message\"\u003c/span\u003e : {\n \u003cspan class=\"pl-ent\"\u003e\"content\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eThere once was a programmer named Mike\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eWho wrote code that would often choke\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eHe used try and except\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eTo handle each step\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eAnd his program ran without any hike.\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"role\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eassistant\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\n }\n }\n ],\n \u003cspan class=\"pl-ent\"\u003e\"created\"\u003c/span\u003e : \u003cspan class=\"pl-c1\"\u003e1704199256\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"id\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003echatcmpl-Dt16ugf3vF8btUZj9psG7To5tc4murBU\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"model\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eLLaMA_CPP\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"object\"\u003c/span\u003e : \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003echat.completion\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"usage\"\u003c/span\u003e : {\n \u003cspan class=\"pl-ent\"\u003e\"completion_tokens\"\u003c/span\u003e : \u003cspan class=\"pl-c1\"\u003e38\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"prompt_tokens\"\u003c/span\u003e : \u003cspan class=\"pl-c1\"\u003e78\u003c/span\u003e,\n \u003cspan class=\"pl-ent\"\u003e\"total_tokens\"\u003c/span\u003e : \u003cspan class=\"pl-c1\"\u003e116\u003c/span\u003e\n }\n}\u003c/pre\u003e\u003c/div\u003e\n\u003c/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003ePython API Client example\u003c/summary\u003e\n\u003cp dir=\"auto\"\u003eIf you've already developed your software using the \u003ca href=\"https://pypi.org/project/openai/\" rel=\"nofollow\"\u003e\u003ccode\u003eopenai\u003c/code\u003e Python\npackage\u003c/a\u003e (that's published by OpenAI)\nthen you should be able to port your app to talk to llamafile instead,\nby making a few changes to \u003ccode\u003ebase_url\u003c/code\u003e and \u003ccode\u003eapi_key\u003c/code\u003e. This example\nassumes you've run \u003ccode\u003epip3 install openai\u003c/code\u003e to install OpenAI's client\nsoftware, which is required by this example. Their package is just a\nsimple Python wrapper around the OpenAI API interface, which can be\nimplemented by any server.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"#!/usr/bin/env python3\nfrom openai import OpenAI\nclient = OpenAI(\n base_url=\u0026quot;http://localhost:8080/v1\u0026quot;, # \u0026quot;http://\u0026lt;Your api-server IP\u0026gt;:port\u0026quot;\n api_key = \u0026quot;sk-no-key-required\u0026quot;\n)\ncompletion = client.chat.completions.create(\n model=\u0026quot;LLaMA_CPP\u0026quot;,\n messages=[\n {\u0026quot;role\u0026quot;: \u0026quot;system\u0026quot;, \u0026quot;content\u0026quot;: \u0026quot;You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.\u0026quot;},\n {\u0026quot;role\u0026quot;: \u0026quot;user\u0026quot;, \u0026quot;content\u0026quot;: \u0026quot;Write a limerick about python exceptions\u0026quot;}\n ]\n)\nprint(completion.choices[0].message)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-c\"\u003e#!/usr/bin/env python3\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003efrom\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eopenai\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eOpenAI\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eOpenAI\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003ebase_url\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"http://localhost:8080/v1\"\u003c/span\u003e, \u003cspan class=\"pl-c\"\u003e# \"http://\u0026lt;Your api-server IP\u0026gt;:port\"\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eapi_key\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\"sk-no-key-required\"\u003c/span\u003e\n)\n\u003cspan class=\"pl-s1\"\u003ecompletion\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eclient\u003c/span\u003e.\u003cspan class=\"pl-s1\"\u003echat\u003c/span\u003e.\u003cspan class=\"pl-s1\"\u003ecompletions\u003c/span\u003e.\u003cspan class=\"pl-en\"\u003ecreate\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003emodel\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e\"LLaMA_CPP\"\u003c/span\u003e,\n \u003cspan class=\"pl-s1\"\u003emessages\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e[\n {\u003cspan class=\"pl-s\"\u003e\"role\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"system\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"content\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.\"\u003c/span\u003e},\n {\u003cspan class=\"pl-s\"\u003e\"role\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"user\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"content\"\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e\"Write a limerick about python exceptions\"\u003c/span\u003e}\n ]\n)\n\u003cspan class=\"pl-en\"\u003eprint\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ecompletion\u003c/span\u003e.\u003cspan class=\"pl-s1\"\u003echoices\u003c/span\u003e[\u003cspan class=\"pl-c1\"\u003e0\u003c/span\u003e].\u003cspan class=\"pl-s1\"\u003emessage\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe above code will return a Python object like this:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"ChatCompletionMessage(content='There once was a programmer named Mike\\nWho wrote code that would often strike\\nAn error would occur\\nAnd he\\'d shout \u0026quot;Oh no!\u0026quot;\\nBut Python\\'s exceptions made it all right.', role='assistant', function_call=None, tool_calls=None)\"\u003e\u003cpre\u003e\u003cspan class=\"pl-v\"\u003eChatCompletionMessage\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003econtent\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e'There once was a programmer named Mike\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eWho wrote code that would often strike\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eAn error would occur\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eAnd he\u003cspan class=\"pl-cce\"\u003e\\'\u003c/span\u003ed shout \"Oh no!\"\u003cspan class=\"pl-cce\"\u003e\\n\u003c/span\u003eBut Python\u003cspan class=\"pl-cce\"\u003e\\'\u003c/span\u003es exceptions made it all right.'\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003erole\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s\"\u003e'assistant'\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003efunction_call\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eNone\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003etool_calls\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eNone\u003c/span\u003e)\u003c/pre\u003e\u003c/div\u003e\n\u003c/details\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOther example llamafiles\u003c/h2\u003e\u003ca id=\"user-content-other-example-llamafiles\" class=\"anchor\" aria-label=\"Permalink: Other example llamafiles\" href=\"#other-example-llamafiles\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWe also provide example llamafiles for other models, so you can easily\ntry out llamafile with different kinds of LLMs.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eModel\u003c/th\u003e\n\u003cth\u003eSize\u003c/th\u003e\n\u003cth\u003eLicense\u003c/th\u003e\n\u003cth\u003ellamafile\u003c/th\u003e\n\u003cth\u003eother quants\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLaMA 3.2 3B Instruct\u003c/td\u003e\n\u003ctd\u003e2.62 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eLLaMA 3.2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile/blob/main/Llama-3.2-3B-Instruct.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003eLlama-3.2-3B-Instruct.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLaMA 3.2 1B Instruct\u003c/td\u003e\n\u003ctd\u003e1.11 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eLLaMA 3.2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile/blob/main/Llama-3.2-1B-Instruct.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003eLlama-3.2-1B-Instruct.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGemma 2 2B Instruct\u003c/td\u003e\n\u003ctd\u003e2.32 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eGemma 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile/blob/main/gemma-2-2b-it.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003egemma-2-2b-it.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGemma 2 9B Instruct\u003c/td\u003e\n\u003ctd\u003e7.76 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eGemma 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile/blob/main/gemma-2-9b-it.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003egemma-2-9b-it.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGemma 2 27B Instruct\u003c/td\u003e\n\u003ctd\u003e22.5 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eGemma 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile/blob/main/gemma-2-27b-it.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003egemma-2-27b-it.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLaVA 1.5\u003c/td\u003e\n\u003ctd\u003e3.97 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://ai.meta.com/resources/models-and-libraries/llama-downloads/\" rel=\"nofollow\"\u003eLLaMA 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile/resolve/main/llava-v1.5-7b-q4.llamafile?download=true\" rel=\"nofollow\"\u003ellava-v1.5-7b-q4.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTinyLlama-1.1B\u003c/td\u003e\n\u003ctd\u003e2.05 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/TinyLlama-1.1B-Chat-v1.0-llamafile/resolve/main/TinyLlama-1.1B-Chat-v1.0.F16.llamafile?download=true\" rel=\"nofollow\"\u003eTinyLlama-1.1B-Chat-v1.0.F16.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/TinyLlama-1.1B-Chat-v1.0-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMistral-7B-Instruct\u003c/td\u003e\n\u003ctd\u003e3.85 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Mistral-7B-Instruct-v0.2-llamafile/resolve/main/mistral-7b-instruct-v0.2.Q4_0.llamafile?download=true\" rel=\"nofollow\"\u003emistral-7b-instruct-v0.2.Q4_0.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Mistral-7B-Instruct-v0.2-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePhi-3-mini-4k-instruct\u003c/td\u003e\n\u003ctd\u003e7.67 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile/resolve/main/Phi-3-mini-4k-instruct.F16.llamafile?download=true\" rel=\"nofollow\"\u003ePhi-3-mini-4k-instruct.F16.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMixtral-8x7B-Instruct\u003c/td\u003e\n\u003ctd\u003e30.03 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Mixtral-8x7B-Instruct-v0.1-llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile?download=true\" rel=\"nofollow\"\u003emixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Mixtral-8x7B-Instruct-v0.1-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWizardCoder-Python-34B\u003c/td\u003e\n\u003ctd\u003e22.23 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://ai.meta.com/resources/models-and-libraries/llama-downloads/\" rel=\"nofollow\"\u003eLLaMA 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/WizardCoder-Python-34B-V1.0-llamafile/resolve/main/wizardcoder-python-34b-v1.0.Q5_K_M.llamafile?download=true\" rel=\"nofollow\"\u003ewizardcoder-python-34b-v1.0.Q5_K_M.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/WizardCoder-Python-34B-V1.0-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWizardCoder-Python-13B\u003c/td\u003e\n\u003ctd\u003e7.33 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://ai.meta.com/resources/models-and-libraries/llama-downloads/\" rel=\"nofollow\"\u003eLLaMA 2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/jartine/wizardcoder-13b-python/resolve/main/wizardcoder-python-13b.llamafile?download=true\" rel=\"nofollow\"\u003ewizardcoder-python-13b.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/jartine/wizardcoder-13b-python\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLaMA-3-Instruct-70B\u003c/td\u003e\n\u003ctd\u003e37.25 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/blob/main/Meta-Llama-3-Community-License-Agreement.txt\" rel=\"nofollow\"\u003ellama3\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-70B-Instruct-llamafile/resolve/main/Meta-Llama-3-70B-Instruct.Q4_0.llamafile?download=true\" rel=\"nofollow\"\u003eMeta-Llama-3-70B-Instruct.Q4_0.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-70B-Instruct-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLLaMA-3-Instruct-8B\u003c/td\u003e\n\u003ctd\u003e5.37 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/blob/main/Meta-Llama-3-Community-License-Agreement.txt\" rel=\"nofollow\"\u003ellama3\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/resolve/main/Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile?download=true\" rel=\"nofollow\"\u003eMeta-Llama-3-8B-Instruct.Q5_K_M.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRocket-3B\u003c/td\u003e\n\u003ctd\u003e1.89 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://creativecommons.org/licenses/by-sa/4.0/deed.en\" rel=\"nofollow\"\u003ecc-by-sa-4.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/rocket-3B-llamafile/resolve/main/rocket-3b.Q5_K_M.llamafile?download=true\" rel=\"nofollow\"\u003erocket-3b.Q5_K_M.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/rocket-3B-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOLMo-7B\u003c/td\u003e\n\u003ctd\u003e5.68 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile/blob/main/LICENSE\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile/resolve/main/OLMo-7B-0424.Q6_K.llamafile?download=true\" rel=\"nofollow\"\u003eOLMo-7B-0424.Q6_K.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cem\u003eText Embedding Models\u003c/em\u003e\u003c/td\u003e\n\u003ctd\u003e\u003c/td\u003e\n\u003ctd\u003e\u003c/td\u003e\n\u003ctd\u003e\u003c/td\u003e\n\u003ctd\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eE5-Mistral-7B-Instruct\u003c/td\u003e\n\u003ctd\u003e5.16 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://choosealicense.com/licenses/mit/\" rel=\"nofollow\"\u003eMIT\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/e5-mistral-7b-instruct/resolve/main/e5-mistral-7b-instruct-Q5_K_M.llamafile?download=true\" rel=\"nofollow\"\u003ee5-mistral-7b-instruct-Q5_K_M.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/e5-mistral-7b-instruct\" rel=\"nofollow\"\u003eSee HF repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emxbai-embed-large-v1\u003c/td\u003e\n\u003ctd\u003e0.7 GB\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\" rel=\"nofollow\"\u003eApache 2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/mxbai-embed-large-v1-llamafile/resolve/main/mxbai-embed-large-v1-f16.llamafile?download=true\" rel=\"nofollow\"\u003emxbai-embed-large-v1-f16.llamafile\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://huggingface.co/Mozilla/mxbai-embed-large-v1-llamafile\" rel=\"nofollow\"\u003eSee HF Repo\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cp dir=\"auto\"\u003eHere is an example for the Mistral command-line llamafile:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"./mistral-7b-instruct-v0.2.Q5_K_M.llamafile --temp 0.7 -p '[INST]Write a story about llamas[/INST]'\"\u003e\u003cpre\u003e./mistral-7b-instruct-v0.2.Q5_K_M.llamafile --temp 0.7 -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e[INST]Write a story about llamas[/INST]\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAnd here is an example for WizardCoder-Python command-line llamafile:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"./wizardcoder-python-13b.llamafile --temp 0 -e -r '```\\n' -p '```c\\nvoid *memcpy_sse2(char *dst, const char *src, size_t size) {\\n'\"\u003e\u003cpre\u003e./wizardcoder-python-13b.llamafile --temp 0 -e -r \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e```\\n\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e```c\\nvoid *memcpy_sse2(char *dst, const char *src, size_t size) {\\n\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAnd here's an example for the LLaVA command-line llamafile:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"./llava-v1.5-7b-q4.llamafile --temp 0.2 --image lemurs.jpg -e -p '### User: What do you see?\\n### Assistant:'\"\u003e\u003cpre\u003e./llava-v1.5-7b-q4.llamafile --temp 0.2 --image lemurs.jpg -e -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e### User: What do you see?\\n### Assistant:\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAs before, macOS, Linux, and BSD users will need to use the \"chmod\"\ncommand to grant execution permissions to the file before running these\nllamafiles for the first time.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eUnfortunately, Windows users cannot make use of many of these example\nllamafiles because Windows has a maximum executable file size of 4GB,\nand all of these examples exceed that size. (The LLaVA llamafile works\non Windows because it is 30MB shy of the size limit.) But don't lose\nheart: llamafile allows you to use external weights; this is described\nlater in this document.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eHaving trouble? See the \"Gotchas\" section below.\u003c/strong\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eHow llamafile works\u003c/h2\u003e\u003ca id=\"user-content-how-llamafile-works\" class=\"anchor\" aria-label=\"Permalink: How llamafile works\" href=\"#how-llamafile-works\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eA llamafile is an executable LLM that you can run on your own\ncomputer. It contains the weights for a given open LLM, as well\nas everything needed to actually run that model on your computer.\nThere's nothing to install or configure (with a few caveats, discussed\nin subsequent sections of this document).\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThis is all accomplished by combining llama.cpp with Cosmopolitan Libc,\nwhich provides some useful capabilities:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003ellamafiles can run on multiple CPU microarchitectures. We\nadded runtime dispatching to llama.cpp that lets new Intel systems use\nmodern CPU features without trading away support for older computers.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003ellamafiles can run on multiple CPU architectures. We do\nthat by concatenating AMD64 and ARM64 builds with a shell script that\nlaunches the appropriate one. Our file format is compatible with WIN32\nand most UNIX shells. It's also able to be easily converted (by either\nyou or your users) to the platform-native format, whenever required.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003ellamafiles can run on six OSes (macOS, Windows, Linux,\nFreeBSD, OpenBSD, and NetBSD). If you make your own llama files, you'll\nonly need to build your code once, using a Linux-style toolchain. The\nGCC-based compiler we provide is itself an Actually Portable Executable,\nso you can build your software for all six OSes from the comfort of\nwhichever one you prefer most for development.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eThe weights for an LLM can be embedded within the llamafile.\nWe added support for PKZIP to the GGML library. This lets uncompressed\nweights be mapped directly into memory, similar to a self-extracting\narchive. It enables quantized weights distributed online to be prefixed\nwith a compatible version of the llama.cpp software, thereby ensuring\nits originally observed behaviors can be reproduced indefinitely.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eFinally, with the tools included in this project you can create your\n\u003cem\u003eown\u003c/em\u003e llamafiles, using any compatible model weights you want. You can\nthen distribute these llamafiles to other people, who can easily make\nuse of them regardless of what kind of computer they have.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eUsing llamafile with external weights\u003c/h2\u003e\u003ca id=\"user-content-using-llamafile-with-external-weights\" class=\"anchor\" aria-label=\"Permalink: Using llamafile with external weights\" href=\"#using-llamafile-with-external-weights\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eEven though our example llamafiles have the weights built-in, you don't\n\u003cem\u003ehave\u003c/em\u003e to use llamafile that way. Instead, you can download \u003cem\u003ejust\u003c/em\u003e the\nllamafile software (without any weights included) from our releases page.\nYou can then use it alongside any external weights you may have on hand.\nExternal weights are particularly useful for Windows users because they\nenable you to work around Windows' 4GB executable file size limit.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFor Windows users, here's an example for the Mistral LLM:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"curl -L -o llamafile.exe https://github.com/Mozilla-Ocho/llamafile/releases/download/0.8.11/llamafile-0.8.11\ncurl -L -o mistral.gguf https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf\n./llamafile.exe -m mistral.gguf\"\u003e\u003cpre\u003ecurl -L -o llamafile.exe https://github.com/Mozilla-Ocho/llamafile/releases/download/0.8.11/llamafile-0.8.11\ncurl -L -o mistral.gguf https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf\n./llamafile.exe -m mistral.gguf\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWindows users may need to change \u003ccode\u003e./llamafile.exe\u003c/code\u003e to \u003ccode\u003e.\\llamafile.exe\u003c/code\u003e\nwhen running the above command.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGotchas and troubleshooting\u003c/h2\u003e\u003ca id=\"user-content-gotchas-and-troubleshooting\" class=\"anchor\" aria-label=\"Permalink: Gotchas and troubleshooting\" href=\"#gotchas-and-troubleshooting\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOn any platform, if your llamafile process is immediately killed, check\nif you have CrowdStrike and then ask to be whitelisted.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMac\u003c/h3\u003e\u003ca id=\"user-content-mac\" class=\"anchor\" aria-label=\"Permalink: Mac\" href=\"#mac\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOn macOS with Apple Silicon you need to have Xcode Command Line Tools\ninstalled for llamafile to be able to bootstrap itself.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you use zsh and have trouble running llamafile, try saying \u003ccode\u003esh -c ./llamafile\u003c/code\u003e. This is due to a bug that was fixed in zsh 5.9+. The same\nis the case for Python \u003ccode\u003esubprocess\u003c/code\u003e, old versions of Fish, etc.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMac error \"... cannot be opened because the developer cannot be verified\"\u003c/h4\u003e\u003ca id=\"user-content-mac-error--cannot-be-opened-because-the-developer-cannot-be-verified\" class=\"anchor\" aria-label=\"Permalink: Mac error \u0026quot;... cannot be opened because the developer cannot be verified\u0026quot;\" href=\"#mac-error--cannot-be-opened-because-the-developer-cannot-be-verified\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eImmediately launch System Settings, then go to Privacy \u0026amp; Security. llamafile should be listed at the bottom, with a button to Allow.\u003c/li\u003e\n\u003cli\u003eIf not, then change your command in the Terminal to be \u003ccode\u003esudo spctl --master-disable; [llama launch command]; sudo spctl --master-enable\u003c/code\u003e. This is because \u003ccode\u003e--master-disable\u003c/code\u003e disables \u003cem\u003eall\u003c/em\u003e checking, so you need to turn it back on after quitting llama.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLinux\u003c/h3\u003e\u003ca id=\"user-content-linux\" class=\"anchor\" aria-label=\"Permalink: Linux\" href=\"#linux\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOn some Linux systems, you might get errors relating to \u003ccode\u003erun-detectors\u003c/code\u003e\nor WINE. This is due to \u003ccode\u003ebinfmt_misc\u003c/code\u003e registrations. You can fix that by\nadding an additional registration for the APE file format llamafile\nuses:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"sudo wget -O /usr/bin/ape https://cosmo.zip/pub/cosmos/bin/ape-$(uname -m).elf\nsudo chmod +x /usr/bin/ape\nsudo sh -c \u0026quot;echo ':APE:M::MZqFpD::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\u0026quot;\nsudo sh -c \u0026quot;echo ':APE-jart:M::jartsr::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\u0026quot;\"\u003e\u003cpre\u003esudo wget -O /usr/bin/ape https://cosmo.zip/pub/cosmos/bin/ape-\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e$(\u003c/span\u003euname -m\u003cspan class=\"pl-pds\"\u003e)\u003c/span\u003e\u003c/span\u003e.elf\nsudo chmod +x /usr/bin/ape\nsudo sh -c \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eecho ':APE:M::MZqFpD::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\nsudo sh -c \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eecho ':APE-jart:M::jartsr::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eWindows\u003c/h3\u003e\u003ca id=\"user-content-windows\" class=\"anchor\" aria-label=\"Permalink: Windows\" href=\"#windows\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAs mentioned above, on Windows you may need to rename your llamafile by\nadding \u003ccode\u003e.exe\u003c/code\u003e to the filename.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAlso as mentioned above, Windows also has a maximum file size limit of 4GB\nfor executables. The LLaVA server executable above is just 30MB shy of\nthat limit, so it'll work on Windows, but with larger models like\nWizardCoder 13B, you need to store the weights in a separate file. An\nexample is provided above; see \"Using llamafile with external weights.\"\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOn WSL, there are many possible gotchas. One thing that helps solve them\ncompletely is this:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"[Unit]\nDescription=cosmopolitan APE binfmt service\nAfter=wsl-binfmt.service\n\n[Service]\nType=oneshot\nExecStart=/bin/sh -c \u0026quot;echo ':APE:M::MZqFpD::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\u0026quot;\n\n[Install]\nWantedBy=multi-user.target\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e[Unit]\nDescription=cosmopolitan APE binfmt service\nAfter=wsl-binfmt.service\n\n[Service]\nType=oneshot\nExecStart=/bin/sh -c \"echo ':APE:M::MZqFpD::/usr/bin/ape:' \u0026gt;/proc/sys/fs/binfmt_misc/register\"\n\n[Install]\nWantedBy=multi-user.target\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ePut that in \u003ccode\u003e/etc/systemd/system/cosmo-binfmt.service\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen run \u003ccode\u003esudo systemctl enable cosmo-binfmt\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eAnother thing that's helped WSL users who experience issues, is to\ndisable the WIN32 interop feature:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"sudo sh -c \u0026quot;echo -1 \u0026gt; /proc/sys/fs/binfmt_misc/WSLInterop\u0026quot;\"\u003e\u003cpre\u003esudo sh -c \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003eecho -1 \u0026gt; /proc/sys/fs/binfmt_misc/WSLInterop\u003cspan class=\"pl-pds\"\u003e\"\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIn the instance of getting a \u003ccode\u003ePermission Denied\u003c/code\u003e on disabling interop\nthrough CLI, it can be permanently disabled by adding the following in\n\u003ccode\u003e/etc/wsl.conf\u003c/code\u003e\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"[interop]\nenabled=false\"\u003e\u003cpre\u003e[interop]\nenabled=false\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSupported OSes\u003c/h2\u003e\u003ca id=\"user-content-supported-oses\" class=\"anchor\" aria-label=\"Permalink: Supported OSes\" href=\"#supported-oses\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ellamafile supports the following operating systems, which require a minimum\nstock install:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eLinux 2.6.18+ (i.e. every distro since RHEL5 c. 2007)\u003c/li\u003e\n\u003cli\u003eDarwin (macOS) 23.1.0+ [1] (GPU is only supported on ARM64)\u003c/li\u003e\n\u003cli\u003eWindows 10+ (AMD64 only)\u003c/li\u003e\n\u003cli\u003eFreeBSD 13+\u003c/li\u003e\n\u003cli\u003eNetBSD 9.2+ (AMD64 only)\u003c/li\u003e\n\u003cli\u003eOpenBSD 7+ (AMD64 only)\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eOn Windows, llamafile runs as a native portable executable. On UNIX\nsystems, llamafile extracts a small loader program named \u003ccode\u003eape\u003c/code\u003e to\n\u003ccode\u003e$TMPDIR/.llamafile\u003c/code\u003e or \u003ccode\u003e~/.ape-1.9\u003c/code\u003e which is used to map your model\ninto memory.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e[1] Darwin kernel versions 15.6+ \u003cem\u003eshould\u003c/em\u003e be supported, but we currently\nhave no way of testing that.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSupported CPUs\u003c/h2\u003e\u003ca id=\"user-content-supported-cpus\" class=\"anchor\" aria-label=\"Permalink: Supported CPUs\" href=\"#supported-cpus\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ellamafile supports the following CPUs:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eAMD64\u003c/strong\u003e microprocessors must have AVX. Otherwise llamafile will\nprint an error and refuse to run. This means that if you have an Intel\nCPU, it needs to be Intel Core or newer (circa 2006+), and if you have\nan AMD CPU, then it needs to be K8 or newer (circa 2003+). Support for\nAVX512, AVX2, FMA, F16C, and VNNI are conditionally enabled at runtime\nif you have a newer CPU. For example, Zen4 has very good AVX512 that\ncan speed up BF16 llamafiles.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003cstrong\u003eARM64\u003c/strong\u003e microprocessors must have ARMv8a+. This means everything\nfrom Apple Silicon to 64-bit Raspberry Pis will work, provided your\nweights fit into memory.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGPU support\u003c/h2\u003e\u003ca id=\"user-content-gpu-support\" class=\"anchor\" aria-label=\"Permalink: GPU support\" href=\"#gpu-support\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ellamafile supports the following kinds of GPUs:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eApple Metal\u003c/li\u003e\n\u003cli\u003eNVIDIA\u003c/li\u003e\n\u003cli\u003eAMD\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eGPU on MacOS ARM64 is supported by compiling a small module using the\nXcode Command Line Tools, which need to be installed. This is a one time\ncost that happens the first time you run your llamafile. The DSO built\nby llamafile is stored in \u003ccode\u003e$TMPDIR/.llamafile\u003c/code\u003e or \u003ccode\u003e$HOME/.llamafile\u003c/code\u003e.\nOffloading to GPU is enabled by default when a Metal GPU is present.\nThis can be disabled by passing \u003ccode\u003e-ngl 0\u003c/code\u003e or \u003ccode\u003e--gpu disable\u003c/code\u003e to force\nllamafile to perform CPU inference.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOwners of NVIDIA and AMD graphics cards need to pass the \u003ccode\u003e-ngl 999\u003c/code\u003e flag\nto enable maximum offloading. If multiple GPUs are present then the work\nwill be divided evenly among them by default, so you can load larger\nmodels. Multiple GPU support may be broken on AMD Radeon systems. If\nthat happens to you, then use \u003ccode\u003eexport HIP_VISIBLE_DEVICES=0\u003c/code\u003e which\nforces llamafile to only use the first GPU.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eWindows users are encouraged to use our release binaries, because they\ncontain prebuilt DLLs for both NVIDIA and AMD graphics cards, which only\ndepend on the graphics driver being installed. If llamafile detects that\nNVIDIA's CUDA SDK or AMD's ROCm HIP SDK are installed, then llamafile\nwill try to build a faster DLL that uses cuBLAS or rocBLAS. In order for\nllamafile to successfully build a cuBLAS module, it needs to be run on\nthe x64 MSVC command prompt. You can use CUDA via WSL by enabling\n\u003ca href=\"https://learn.microsoft.com/en-us/windows/ai/directml/gpu-cuda-in-wsl\" rel=\"nofollow\"\u003eNvidia CUDA on\nWSL\u003c/a\u003e\nand running your llamafiles inside of WSL. Using WSL has the added\nbenefit of letting you run llamafiles greater than 4GB on Windows.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOn Linux, NVIDIA users will need to install the CUDA SDK (ideally using\nthe shell script installer) and ROCm users need to install the HIP SDK.\nThey're detected by looking to see if \u003ccode\u003envcc\u003c/code\u003e or \u003ccode\u003ehipcc\u003c/code\u003e are on the PATH.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you have both an AMD GPU \u003cem\u003eand\u003c/em\u003e an NVIDIA GPU in your machine, then\nyou may need to qualify which one you want used, by passing either\n\u003ccode\u003e--gpu amd\u003c/code\u003e or \u003ccode\u003e--gpu nvidia\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIn the event that GPU support couldn't be compiled and dynamically\nlinked on the fly for any reason, llamafile will fall back to CPU\ninference.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSource installation\u003c/h2\u003e\u003ca id=\"user-content-source-installation\" class=\"anchor\" aria-label=\"Permalink: Source installation\" href=\"#source-installation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eDeveloping on llamafile requires a modern version of the GNU \u003ccode\u003emake\u003c/code\u003e\ncommand (called \u003ccode\u003egmake\u003c/code\u003e on some systems), \u003ccode\u003esha256sum\u003c/code\u003e (otherwise \u003ccode\u003ecc\u003c/code\u003e\nwill be used to build it), \u003ccode\u003ewget\u003c/code\u003e (or \u003ccode\u003ecurl\u003c/code\u003e), and \u003ccode\u003eunzip\u003c/code\u003e available at\n\u003ca href=\"https://cosmo.zip/pub/cosmos/bin/\" rel=\"nofollow\"\u003ehttps://cosmo.zip/pub/cosmos/bin/\u003c/a\u003e.\nWindows users need \u003ca href=\"https://justine.lol/cosmo3/\" rel=\"nofollow\"\u003ecosmos bash\u003c/a\u003e shell too.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"make -j8\nsudo make install PREFIX=/usr/local\"\u003e\u003cpre\u003emake -j8\nsudo make install PREFIX=/usr/local\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's an example of how to generate code for a libc function using the\nllama.cpp command line interface, utilizing WizardCoder-Python-13B\nweights:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile \\\n -m wizardcoder-python-13b-v1.0.Q8_0.gguf \\\n --temp 0 -r '}\\n' -r '```\\n' \\\n -e -p '```c\\nvoid *memcpy(void *dst, const void *src, size_t size) {\\n'\"\u003e\u003cpre\u003ellamafile \\\n -m wizardcoder-python-13b-v1.0.Q8_0.gguf \\\n --temp 0 -r \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e}\\n\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e -r \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e```\\n\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e \\\n -e -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e```c\\nvoid *memcpy(void *dst, const void *src, size_t size) {\\n\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's a similar example that instead utilizes Mistral-7B-Instruct\nweights for prose composition:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile -ngl 9999 \\\n -m mistral-7b-instruct-v0.1.Q4_K_M.gguf \\\n -p '[INST]Write a story about llamas[/INST]'\"\u003e\u003cpre\u003ellamafile -ngl 9999 \\\n -m mistral-7b-instruct-v0.1.Q4_K_M.gguf \\\n -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e[INST]Write a story about llamas[/INST]\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's an example of how llamafile can be used as an interactive chatbot\nthat lets you query knowledge contained in training data:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile -m llama-65b-Q5_K.gguf -p '\nThe following is a conversation between a Researcher and their helpful AI assistant Digital Athena which is a large language model trained on the sum of human knowledge.\nResearcher: Good morning.\nDigital Athena: How can I help you today?\nResearcher:' --interactive --color --batch_size 1024 --ctx_size 4096 \\\n--keep -1 --temp 0 --mirostat 2 --in-prefix ' ' --interactive-first \\\n--in-suffix 'Digital Athena:' --reverse-prompt 'Researcher:'\"\u003e\u003cpre\u003ellamafile -m llama-65b-Q5_K.gguf -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eThe following is a conversation between a Researcher and their helpful AI assistant Digital Athena which is a large language model trained on the sum of human knowledge.\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eResearcher: Good morning.\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eDigital Athena: How can I help you today?\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eResearcher:\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e --interactive --color --batch_size 1024 --ctx_size 4096 \\\n--keep -1 --temp 0 --mirostat 2 --in-prefix \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e \u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e --interactive-first \\\n--in-suffix \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003eDigital Athena:\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e --reverse-prompt \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003eResearcher:\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's an example of how you can use llamafile to summarize HTML URLs:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"(\n echo '[INST]Summarize the following text:'\n links -codepage utf-8 \\\n -force-html \\\n -width 500 \\\n -dump https://www.poetryfoundation.org/poems/48860/the-raven |\n sed 's/ */ /g'\n echo '[/INST]'\n) | llamafile -ngl 9999 \\\n -m mistral-7b-instruct-v0.2.Q5_K_M.gguf \\\n -f /dev/stdin \\\n -c 0 \\\n --temp 0 \\\n -n 500 \\\n --no-display-prompt 2\u0026gt;/dev/null\"\u003e\u003cpre\u003e(\n \u003cspan class=\"pl-c1\"\u003eecho\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e[INST]Summarize the following text:\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\n links -codepage utf-8 \\\n -force-html \\\n -width 500 \\\n -dump https://www.poetryfoundation.org/poems/48860/the-raven \u003cspan class=\"pl-k\"\u003e|\u003c/span\u003e\n sed \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003es/ */ /g\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\n \u003cspan class=\"pl-c1\"\u003eecho\u003c/span\u003e \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e[/INST]\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\n) \u003cspan class=\"pl-k\"\u003e|\u003c/span\u003e llamafile -ngl 9999 \\\n -m mistral-7b-instruct-v0.2.Q5_K_M.gguf \\\n -f /dev/stdin \\\n -c 0 \\\n --temp 0 \\\n -n 500 \\\n --no-display-prompt \u003cspan class=\"pl-k\"\u003e2\u0026gt;\u003c/span\u003e/dev/null\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's how you can use llamafile to describe a jpg/png/gif/bmp image:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile -ngl 9999 --temp 0 \\\n --image ~/Pictures/lemurs.jpg \\\n -m llava-v1.5-7b-Q4_K.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \\\n -e -p '### User: What do you see?\\n### Assistant: ' \\\n --no-display-prompt 2\u0026gt;/dev/null\"\u003e\u003cpre\u003ellamafile -ngl 9999 --temp 0 \\\n --image \u003cspan class=\"pl-k\"\u003e~\u003c/span\u003e/Pictures/lemurs.jpg \\\n -m llava-v1.5-7b-Q4_K.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \\\n -e -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e### User: What do you see?\\n### Assistant: \u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e \\\n --no-display-prompt \u003cspan class=\"pl-k\"\u003e2\u0026gt;\u003c/span\u003e/dev/null\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIt's possible to use BNF grammar to enforce the output is predictable\nand safe to use in your shell script. The simplest grammar would be\n\u003ccode\u003e--grammar 'root ::= \"yes\" | \"no\"'\u003c/code\u003e to force the LLM to only print to\nstandard output either \u003ccode\u003e\"yes\\n\"\u003c/code\u003e or \u003ccode\u003e\"no\\n\"\u003c/code\u003e. Another example is if you\nwanted to write a script to rename all your image files, you could say:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile -ngl 9999 --temp 0 \\\n --image lemurs.jpg \\\n -m llava-v1.5-7b-Q4_K.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \\\n --grammar 'root ::= [a-z]+ (\u0026quot; \u0026quot; [a-z]+)+' \\\n -e -p '### User: What do you see?\\n### Assistant: ' \\\n --no-display-prompt 2\u0026gt;/dev/null |\n sed -e's/ /_/g' -e's/$/.jpg/'\na_baby_monkey_on_the_back_of_a_mother.jpg\"\u003e\u003cpre\u003ellamafile -ngl 9999 --temp 0 \\\n --image lemurs.jpg \\\n -m llava-v1.5-7b-Q4_K.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \\\n --grammar \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003eroot ::= [a-z]+ (\" \" [a-z]+)+\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e \\\n -e -p \u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e### User: What do you see?\\n### Assistant: \u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e \\\n --no-display-prompt \u003cspan class=\"pl-k\"\u003e2\u0026gt;\u003c/span\u003e/dev/null \u003cspan class=\"pl-k\"\u003e|\u003c/span\u003e\n sed -e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003es/ /_/g\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e -e\u003cspan class=\"pl-s\"\u003e\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003es/$/.jpg/\u003cspan class=\"pl-pds\"\u003e'\u003c/span\u003e\u003c/span\u003e\na_baby_monkey_on_the_back_of_a_mother.jpg\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere's an example of how to run llama.cpp's built-in HTTP server. This\nexample uses LLaVA v1.5-7B, a multimodal LLM that works with llama.cpp's\nrecently-added support for image inputs.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"llamafile -ngl 9999 \\\n -m llava-v1.5-7b-Q8_0.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf \\\n --host 0.0.0.0\"\u003e\u003cpre\u003ellamafile -ngl 9999 \\\n -m llava-v1.5-7b-Q8_0.gguf \\\n --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf \\\n --host 0.0.0.0\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe above command will launch a browser tab on your personal computer to\ndisplay a web interface. It lets you chat with your LLM and upload\nimages to it.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCreating llamafiles\u003c/h2\u003e\u003ca id=\"user-content-creating-llamafiles\" class=\"anchor\" aria-label=\"Permalink: Creating llamafiles\" href=\"#creating-llamafiles\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf you want to be able to just say:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"./llava.llamafile\"\u003e\u003cpre\u003e./llava.llamafile\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e...and have it run the web server without having to specify arguments,\nthen you can embed both the weights and a special \u003ccode\u003e.args\u003c/code\u003e inside, which\nspecifies the default arguments. First, let's create a file named\n\u003ccode\u003e.args\u003c/code\u003e which has this content:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"-m\nllava-v1.5-7b-Q8_0.gguf\n--mmproj\nllava-v1.5-7b-mmproj-Q8_0.gguf\n--host\n0.0.0.0\n-ngl\n9999\n...\"\u003e\u003cpre\u003e-m\nllava-v1.5-7b-Q8_0.gguf\n--mmproj\nllava-v1.5-7b-mmproj-Q8_0.gguf\n--host\n0.0.0.0\n-ngl\n9999\n...\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAs we can see above, there's one argument per line. The \u003ccode\u003e...\u003c/code\u003e argument\noptionally specifies where any additional CLI arguments passed by the\nuser are to be inserted. Next, we'll add both the weights and the\nargument file to the executable:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"cp /usr/local/bin/llamafile llava.llamafile\n\nzipalign -j0 \\\n llava.llamafile \\\n llava-v1.5-7b-Q8_0.gguf \\\n llava-v1.5-7b-mmproj-Q8_0.gguf \\\n .args\n\n./llava.llamafile\"\u003e\u003cpre\u003ecp /usr/local/bin/llamafile llava.llamafile\n\nzipalign -j0 \\\n llava.llamafile \\\n llava-v1.5-7b-Q8_0.gguf \\\n llava-v1.5-7b-mmproj-Q8_0.gguf \\\n .args\n\n./llava.llamafile\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eCongratulations. You've just made your own LLM executable that's easy to\nshare with your friends.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDistribution\u003c/h2\u003e\u003ca id=\"user-content-distribution\" class=\"anchor\" aria-label=\"Permalink: Distribution\" href=\"#distribution\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOne good way to share a llamafile with your friends is by posting it on\nHugging Face. If you do that, then it's recommended that you mention in\nyour Hugging Face commit message what git revision or released version\nof llamafile you used when building your llamafile. That way everyone\nonline will be able verify the provenance of its executable content. If\nyou've made changes to the llama.cpp or cosmopolitan source code, then\nthe Apache 2.0 license requires you to explain what changed. One way you\ncan do that is by embedding a notice in your llamafile using \u003ccode\u003ezipalign\u003c/code\u003e\nthat describes the changes, and mention it in your Hugging Face commit.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDocumentation\u003c/h2\u003e\u003ca id=\"user-content-documentation\" class=\"anchor\" aria-label=\"Permalink: Documentation\" href=\"#documentation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThere's a manual page for each of the llamafile programs installed when you\nrun \u003ccode\u003esudo make install\u003c/code\u003e. The command manuals are also typeset as PDF\nfiles that you can download from our GitHub releases page. Lastly, most\ncommands will display that information when passing the \u003ccode\u003e--help\u003c/code\u003e flag.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRunning llamafile with models downloaded by third-party applications\u003c/h2\u003e\u003ca id=\"user-content-running-llamafile-with-models-downloaded-by-third-party-applications\" class=\"anchor\" aria-label=\"Permalink: Running llamafile with models downloaded by third-party applications\" href=\"#running-llamafile-with-models-downloaded-by-third-party-applications\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis section answers the question \u003cem\u003e\"I already have a model downloaded locally by application X, can I use it with llamafile?\"\u003c/em\u003e. The general answer is \"yes, as long as those models are locally stored in GGUF format\" but its implementation can be more or less hacky depending on the application. A few examples (tested on a Mac) follow.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLM Studio\u003c/h3\u003e\u003ca id=\"user-content-lm-studio\" class=\"anchor\" aria-label=\"Permalink: LM Studio\" href=\"#lm-studio\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://lmstudio.ai/\" rel=\"nofollow\"\u003eLM Studio\u003c/a\u003e stores downloaded models in \u003ccode\u003e~/.cache/lm-studio/models\u003c/code\u003e, in subdirectories with the same name of the models (following HuggingFace's \u003ccode\u003eaccount_name/model_name\u003c/code\u003e format), with the same filename you saw when you chose to download the file.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSo if you have downloaded e.g. the \u003ccode\u003ellama-2-7b.Q2_K.gguf\u003c/code\u003e file for \u003ccode\u003eTheBloke/Llama-2-7B-GGUF\u003c/code\u003e, you can run llamafile as follows:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"cd ~/.cache/lm-studio/models/TheBloke/Llama-2-7B-GGUF\nllamafile -m llama-2-7b.Q2_K.gguf\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ecd ~/.cache/lm-studio/models/TheBloke/Llama-2-7B-GGUF\nllamafile -m llama-2-7b.Q2_K.gguf\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOllama\u003c/h3\u003e\u003ca id=\"user-content-ollama\" class=\"anchor\" aria-label=\"Permalink: Ollama\" href=\"#ollama\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWhen you download a new model with \u003ca href=\"https://ollama.com\" rel=\"nofollow\"\u003eollama\u003c/a\u003e, all its metadata will be stored in a manifest file under \u003ccode\u003e~/.ollama/models/manifests/registry.ollama.ai/library/\u003c/code\u003e. The directory and manifest file name are the model name as returned by \u003ccode\u003eollama list\u003c/code\u003e. For instance, for \u003ccode\u003ellama3:latest\u003c/code\u003e the manifest file will be named \u003ccode\u003e.ollama/models/manifests/registry.ollama.ai/library/llama3/latest\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe manifest maps each file related to the model (e.g. GGUF weights, license, prompt template, etc) to a sha256 digest. The digest corresponding to the element whose \u003ccode\u003emediaType\u003c/code\u003e is \u003ccode\u003eapplication/vnd.ollama.image.model\u003c/code\u003e is the one referring to the model's GGUF file.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eEach sha256 digest is also used as a filename in the \u003ccode\u003e~/.ollama/models/blobs\u003c/code\u003e directory (if you look into that directory you'll see \u003cem\u003eonly\u003c/em\u003e those sha256-* filenames). This means you can directly run llamafile by passing the sha256 digest as the model filename. So if e.g. the \u003ccode\u003ellama3:latest\u003c/code\u003e GGUF file digest is \u003ccode\u003esha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29\u003c/code\u003e, you can run llamafile as follows:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"cd ~/.ollama/models/blobs\nllamafile -m sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ecd ~/.ollama/models/blobs\nllamafile -m sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eTechnical details\u003c/h2\u003e\u003ca id=\"user-content-technical-details\" class=\"anchor\" aria-label=\"Permalink: Technical details\" href=\"#technical-details\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eHere is a succinct overview of the tricks we used to create the fattest\nexecutable format ever. The long story short is llamafile is a shell\nscript that launches itself and runs inference on embedded weights in\nmilliseconds without needing to be copied or installed. What makes that\npossible is mmap(). Both the llama.cpp executable and the weights are\nconcatenated onto the shell script. A tiny loader program is then\nextracted by the shell script, which maps the executable into memory.\nThe llama.cpp executable then opens the shell script again as a file,\nand calls mmap() again to pull the weights into memory and make them\ndirectly accessible to both the CPU and GPU.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eZIP weights embedding\u003c/h3\u003e\u003ca id=\"user-content-zip-weights-embedding\" class=\"anchor\" aria-label=\"Permalink: ZIP weights embedding\" href=\"#zip-weights-embedding\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe trick to embedding weights inside llama.cpp executables is to ensure\nthe local file is aligned on a page size boundary. That way, assuming\nthe zip file is uncompressed, once it's mmap()'d into memory we can pass\npointers directly to GPUs like Apple Metal, which require that data be\npage size aligned. Since no existing ZIP archiving tool has an alignment\nflag, we had to write about \u003ca href=\"/Mozilla-Ocho/llamafile/blob/main/llamafile/zipalign.c\"\u003e500 lines of code\u003c/a\u003e to\ninsert the ZIP files ourselves. However, once there, every existing ZIP\nprogram should be able to read them, provided they support ZIP64. This\nmakes the weights much more easily accessible than they otherwise would\nhave been, had we invented our own file format for concatenated files.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMicroarchitectural portability\u003c/h3\u003e\u003ca id=\"user-content-microarchitectural-portability\" class=\"anchor\" aria-label=\"Permalink: Microarchitectural portability\" href=\"#microarchitectural-portability\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOn Intel and AMD microprocessors, llama.cpp spends most of its time in\nthe matmul quants, which are usually written thrice for SSSE3, AVX, and\nAVX2. llamafile pulls each of these functions out into a separate file\nthat can be \u003ccode\u003e#include\u003c/code\u003eed multiple times, with varying\n\u003ccode\u003e__attribute__((__target__(\"arch\")))\u003c/code\u003e function attributes. Then, a\nwrapper function is added which uses Cosmopolitan's \u003ccode\u003eX86_HAVE(FOO)\u003c/code\u003e\nfeature to runtime dispatch to the appropriate implementation.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eArchitecture portability\u003c/h3\u003e\u003ca id=\"user-content-architecture-portability\" class=\"anchor\" aria-label=\"Permalink: Architecture portability\" href=\"#architecture-portability\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ellamafile solves architecture portability by building llama.cpp twice:\nonce for AMD64 and again for ARM64. It then wraps them with a shell\nscript which has an MZ prefix. On Windows, it'll run as a native binary.\nOn Linux, it'll extract a small 8kb executable called \u003ca href=\"https://github.com/jart/cosmopolitan/blob/master/ape/loader.c\"\u003eAPE\nLoader\u003c/a\u003e\nto \u003ccode\u003e${TMPDIR:-${HOME:-.}}/.ape\u003c/code\u003e that'll map the binary portions of the\nshell script into memory. It's possible to avoid this process by running\nthe\n\u003ca href=\"https://github.com/jart/cosmopolitan/blob/master/tool/build/assimilate.c\"\u003e\u003ccode\u003eassimilate\u003c/code\u003e\u003c/a\u003e\nprogram that comes included with the \u003ccode\u003ecosmocc\u003c/code\u003e compiler. What the\n\u003ccode\u003eassimilate\u003c/code\u003e program does is turn the shell script executable into\nthe host platform's native executable format. This guarantees a fallback\npath exists for traditional release processes when it's needed.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eGPU support\u003c/h3\u003e\u003ca id=\"user-content-gpu-support-1\" class=\"anchor\" aria-label=\"Permalink: GPU support\" href=\"#gpu-support-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eCosmopolitan Libc uses static linking, since that's the only way to get\nthe same executable to run on six OSes. This presents a challenge for\nllama.cpp, because it's not possible to statically link GPU support. The\nway we solve that is by checking if a compiler is installed on the host\nsystem. For Apple, that would be Xcode, and for other platforms, that\nwould be \u003ccode\u003envcc\u003c/code\u003e. llama.cpp has a single file implementation of each GPU\nmodule, named \u003ccode\u003eggml-metal.m\u003c/code\u003e (Objective C) and \u003ccode\u003eggml-cuda.cu\u003c/code\u003e (Nvidia\nC). llamafile embeds those source files within the zip archive and asks\nthe platform compiler to build them at runtime, targeting the native GPU\nmicroarchitecture. If it works, then it's linked with platform C library\ndlopen() implementation. See \u003ca href=\"/Mozilla-Ocho/llamafile/blob/main/llamafile/cuda.c\"\u003ellamafile/cuda.c\u003c/a\u003e and\n\u003ca href=\"/Mozilla-Ocho/llamafile/blob/main/llamafile/metal.c\"\u003ellamafile/metal.c\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIn order to use the platform-specific dlopen() function, we need to ask\nthe platform-specific compiler to build a small executable that exposes\nthese interfaces. On ELF platforms, Cosmopolitan Libc maps this helper\nexecutable into memory along with the platform's ELF interpreter. The\nplatform C library then takes care of linking all the GPU libraries, and\nthen runs the helper program which longjmp()'s back into Cosmopolitan.\nThe executable program is now in a weird hybrid state where two separate\nC libraries exist which have different ABIs. For example, thread local\nstorage works differently on each operating system, and programs will\ncrash if the TLS register doesn't point to the appropriate memory. The\nway Cosmopolitan Libc solves that on AMD is by using SSE to recompile\nthe executable at runtime to change \u003ccode\u003e%fs\u003c/code\u003e register accesses into \u003ccode\u003e%gs\u003c/code\u003e\nwhich takes a millisecond. On ARM, Cosmo uses the \u003ccode\u003ex28\u003c/code\u003e register for TLS\nwhich can be made safe by passing the \u003ccode\u003e-ffixed-x28\u003c/code\u003e flag when compiling\nGPU modules. Lastly, llamafile uses the \u003ccode\u003e__ms_abi__\u003c/code\u003e attribute so that\nfunction pointers passed between the application and GPU modules conform\nto the Windows calling convention. Amazingly enough, every compiler we\ntested, including nvcc on Linux and even Objective-C on MacOS, all\nsupport compiling WIN32 style functions, thus ensuring your llamafile\nwill be able to talk to Windows drivers, when it's run on Windows,\nwithout needing to be recompiled as a separate file for Windows. See\n\u003ca href=\"https://github.com/jart/cosmopolitan/blob/master/libc/dlopen/dlopen.c\"\u003ecosmopolitan/dlopen.c\u003c/a\u003e\nfor further details.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eA note about models\u003c/h2\u003e\u003ca id=\"user-content-a-note-about-models\" class=\"anchor\" aria-label=\"Permalink: A note about models\" href=\"#a-note-about-models\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe example llamafiles provided above should not be interpreted as\nendorsements or recommendations of specific models, licenses, or data\nsets on the part of Mozilla.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSecurity\u003c/h2\u003e\u003ca id=\"user-content-security\" class=\"anchor\" aria-label=\"Permalink: Security\" href=\"#security\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ellamafile adds pledge() and SECCOMP sandboxing to llama.cpp. This is\nenabled by default. It can be turned off by passing the \u003ccode\u003e--unsecure\u003c/code\u003e\nflag. Sandboxing is currently only supported on Linux and OpenBSD on\nsystems without GPUs; on other platforms it'll simply log a warning.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eOur approach to security has these benefits:\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eAfter it starts up, your HTTP server isn't able to access the\nfilesystem at all. This is good, since it means if someone discovers\na bug in the llama.cpp server, then it's much less likely they'll be\nable to access sensitive information on your machine or make changes\nto its configuration. On Linux, we're able to sandbox things even\nfurther; the only networking related system call the HTTP server will\nallowed to use after starting up, is accept(). That further limits an\nattacker's ability to exfiltrate information, in the event that your\nHTTP server is compromised.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003eThe main CLI command won't be able to access the network at all. This\nis enforced by the operating system kernel. It also won't be able to\nwrite to the file system. This keeps your computer safe in the event\nthat a bug is ever discovered in the GGUF file format that lets\nan attacker craft malicious weights files and post them online. The\nonly exception to this rule is if you pass the \u003ccode\u003e--prompt-cache\u003c/code\u003e flag\nwithout also specifying \u003ccode\u003e--prompt-cache-ro\u003c/code\u003e. In that case, security\ncurrently needs to be weakened to allow \u003ccode\u003ecpath\u003c/code\u003e and \u003ccode\u003ewpath\u003c/code\u003e access,\nbut network access will remain forbidden.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003eTherefore your llamafile is able to protect itself against the outside\nworld, but that doesn't mean you're protected from llamafile. Sandboxing\nis self-imposed. If you obtained your llamafile from an untrusted source\nthen its author could have simply modified it to not do that. In that\ncase, you can run the untrusted llamafile inside another sandbox, such\nas a virtual machine, to make sure it behaves how you expect.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLicensing\u003c/h2\u003e\u003ca id=\"user-content-licensing\" class=\"anchor\" aria-label=\"Permalink: Licensing\" href=\"#licensing\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eWhile the llamafile project is Apache 2.0-licensed, our changes\nto llama.cpp are licensed under MIT (just like the llama.cpp project\nitself) so as to remain compatible and upstreamable in the future,\nshould that be desired.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThe llamafile logo on this page was generated with the assistance of DALL·E 3.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://star-history.com/#Mozilla-Ocho/llamafile\u0026amp;Date\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/2d16cb1aa5402c08d2647c727799d08ac608a07ad089ab1696434ea87742c065/68747470733a2f2f6170692e737461722d686973746f72792e636f6d2f7376673f7265706f733d4d6f7a696c6c612d4f63686f2f6c6c616d6166696c6526747970653d44617465\" alt=\"Star History Chart\" data-canonical-src=\"https://api.star-history.com/svg?repos=Mozilla-Ocho/llamafile\u0026amp;type=Date\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"llamafile","anchor":"llamafile","htmlText":"llamafile"},{"level":2,"text":"Quickstart","anchor":"quickstart","htmlText":"Quickstart"},{"level":3,"text":"JSON API Quickstart","anchor":"json-api-quickstart","htmlText":"JSON API Quickstart"},{"level":2,"text":"Other example llamafiles","anchor":"other-example-llamafiles","htmlText":"Other example llamafiles"},{"level":2,"text":"How llamafile works","anchor":"how-llamafile-works","htmlText":"How llamafile works"},{"level":2,"text":"Using llamafile with external weights","anchor":"using-llamafile-with-external-weights","htmlText":"Using llamafile with external weights"},{"level":2,"text":"Gotchas and troubleshooting","anchor":"gotchas-and-troubleshooting","htmlText":"Gotchas and troubleshooting"},{"level":3,"text":"Mac","anchor":"mac","htmlText":"Mac"},{"level":4,"text":"Mac error \"... cannot be opened because the developer cannot be verified\"","anchor":"mac-error--cannot-be-opened-because-the-developer-cannot-be-verified","htmlText":"Mac error \"... cannot be opened because the developer cannot be verified\""},{"level":3,"text":"Linux","anchor":"linux","htmlText":"Linux"},{"level":3,"text":"Windows","anchor":"windows","htmlText":"Windows"},{"level":2,"text":"Supported OSes","anchor":"supported-oses","htmlText":"Supported OSes"},{"level":2,"text":"Supported CPUs","anchor":"supported-cpus","htmlText":"Supported CPUs"},{"level":2,"text":"GPU support","anchor":"gpu-support","htmlText":"GPU support"},{"level":2,"text":"Source installation","anchor":"source-installation","htmlText":"Source installation"},{"level":2,"text":"Creating llamafiles","anchor":"creating-llamafiles","htmlText":"Creating llamafiles"},{"level":2,"text":"Distribution","anchor":"distribution","htmlText":"Distribution"},{"level":2,"text":"Documentation","anchor":"documentation","htmlText":"Documentation"},{"level":2,"text":"Running llamafile with models downloaded by third-party applications","anchor":"running-llamafile-with-models-downloaded-by-third-party-applications","htmlText":"Running llamafile with models downloaded by third-party applications"},{"level":3,"text":"LM Studio","anchor":"lm-studio","htmlText":"LM Studio"},{"level":3,"text":"Ollama","anchor":"ollama","htmlText":"Ollama"},{"level":2,"text":"Technical details","anchor":"technical-details","htmlText":"Technical details"},{"level":3,"text":"ZIP weights embedding","anchor":"zip-weights-embedding","htmlText":"ZIP weights embedding"},{"level":3,"text":"Microarchitectural portability","anchor":"microarchitectural-portability","htmlText":"Microarchitectural portability"},{"level":3,"text":"Architecture portability","anchor":"architecture-portability","htmlText":"Architecture portability"},{"level":3,"text":"GPU support","anchor":"gpu-support-1","htmlText":"GPU support"},{"level":2,"text":"A note about models","anchor":"a-note-about-models","htmlText":"A note about models"},{"level":2,"text":"Security","anchor":"security","htmlText":"Security"},{"level":2,"text":"Licensing","anchor":"licensing","htmlText":"Licensing"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2FMozilla-Ocho%2Fllamafile"}},{"displayName":"LICENSE","repoName":"llamafile","refName":"main","path":"LICENSE","preferredFileType":"license","tabName":"License","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2FMozilla-Ocho%2Fllamafile"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-1583894afd38.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-67668e8c2caa.js","githubDevUrl":null,"enabled_features":{"code_nav_ui_events":false,"overview_shared_code_dropdown_button":false,"react_blob_overlay":false,"copilot_conversational_ux_embedding_update":false,"copilot_smell_icebreaker_ux":true,"copilot_workspace":false,"blob_edit_unsaved_changes_storage":true,"accessible_code_button":true}}}}</script> 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1.5h-8.5a.75.75 0 0 1 0-1.5ZM2 14a1 1 0 1 1 0-2 1 1 0 0 1 0 2Zm1-6a1 1 0 1 1-2 0 1 1 0 0 1 2 0ZM2 4a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg></button></div><div class="Box-sc-g0xbh4-0 QkQOb js-snippet-clipboard-copy-unpositioned" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">llamafile</h1><a id="user-content-llamafile" class="anchor" aria-label="Permalink: llamafile" href="#llamafile"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://github.com/Mozilla-Ocho/llamafile/actions/workflows/ci.yml"><img src="https://github.com/Mozilla-Ocho/llamafile/actions/workflows/ci.yml/badge.svg" alt="ci status" style="max-width: 100%;"></a><br> <a href="https://discord.gg/YuMNeuKStr" rel="nofollow"><img src="https://camo.githubusercontent.com/a0947f762ae88471af50fd5e00e7aa289d831c6b2abc76b81a4f1d58474c4557/68747470733a2f2f646362616467652e76657263656c2e6170702f6170692f7365727665722f59754d4e65754b537472" alt="" data-canonical-src="https://dcbadge.vercel.app/api/server/YuMNeuKStr" style="max-width: 100%;"></a><br><br></p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/Mozilla-Ocho/llamafile/blob/main/llamafile/llamafile-640x640.png"><img src="/Mozilla-Ocho/llamafile/raw/main/llamafile/llamafile-640x640.png" width="320" height="320" alt="[line drawing of llama animal head in front of slightly open manilla folder filled with files]" style="max-width: 100%;"></a></p> <p dir="auto"><strong>llamafile lets you distribute and run LLMs with a single file. (<a href="https://hacks.mozilla.org/2023/11/introducing-llamafile/" rel="nofollow">announcement blog post</a>)</strong></p> <p dir="auto">Our goal is to make open LLMs much more accessible to both developers and end users. We're doing that by combining <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> with <a href="https://github.com/jart/cosmopolitan">Cosmopolitan Libc</a> into one framework that collapses all the complexity of LLMs down to a single-file executable (called a "llamafile") that runs locally on most computers, with no installation.<br><br></p> <p dir="auto"><a href="https://future.mozilla.org" rel="nofollow"><img src="/Mozilla-Ocho/llamafile/raw/main/llamafile/mozilla-logo-bw-rgb.png" width="150" style="max-width: 100%;"></a><br> llamafile is a Mozilla Builders project.<br><br></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Quickstart</h2><a id="user-content-quickstart" class="anchor" aria-label="Permalink: Quickstart" href="#quickstart"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The easiest way to try it for yourself is to download our example llamafile for the <a href="https://llava-vl.github.io/" rel="nofollow">LLaVA</a> model (license: <a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" rel="nofollow">LLaMA 2</a>, <a href="https://openai.com/policies/terms-of-use" rel="nofollow">OpenAI</a>). LLaVA is a new LLM that can do more than just chat; you can also upload images and ask it questions about them. With llamafile, this all happens locally; no data ever leaves your computer.</p> <ol dir="auto"> <li> <p dir="auto">Download <a href="https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile/resolve/main/llava-v1.5-7b-q4.llamafile?download=true" rel="nofollow">llava-v1.5-7b-q4.llamafile</a> (4.29 GB).</p> </li> <li> <p dir="auto">Open your computer's terminal.</p> </li> <li> <p dir="auto">If you're using macOS, Linux, or BSD, you'll need to grant permission for your computer to execute this new file. (You only need to do this once.)</p> </li> </ol> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="chmod +x llava-v1.5-7b-q4.llamafile"><pre>chmod +x llava-v1.5-7b-q4.llamafile</pre></div> <ol start="4" dir="auto"> <li> <p dir="auto">If you're on Windows, rename the file by adding ".exe" on the end.</p> </li> <li> <p dir="auto">Run the llamafile. e.g.:</p> </li> </ol> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="./llava-v1.5-7b-q4.llamafile"><pre>./llava-v1.5-7b-q4.llamafile</pre></div> <ol start="6" dir="auto"> <li> <p dir="auto">Your browser should open automatically and display a chat interface. (If it doesn't, just open your browser and point it at <a href="http://localhost:8080" rel="nofollow">http://localhost:8080</a>)</p> </li> <li> <p dir="auto">When you're done chatting, return to your terminal and hit <code>Control-C</code> to shut down llamafile.</p> </li> </ol> <p dir="auto"><strong>Having trouble? See the "Gotchas" section below.</strong></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">JSON API Quickstart</h3><a id="user-content-json-api-quickstart" class="anchor" aria-label="Permalink: JSON API Quickstart" href="#json-api-quickstart"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">When llamafile is started, in addition to hosting a web UI chat server at <a href="http://127.0.0.1:8080/" rel="nofollow">http://127.0.0.1:8080/</a>, an <a href="https://platform.openai.com/docs/api-reference/chat" rel="nofollow">OpenAI API</a> compatible chat completions endpoint is provided too. It's designed to support the most common OpenAI API use cases, in a way that runs entirely locally. We've also extended it to include llama.cpp specific features (e.g. mirostat) that may also be used. For further details on what fields and endpoints are available, refer to both the <a href="https://platform.openai.com/docs/api-reference/chat/create" rel="nofollow">OpenAI documentation</a> and the <a href="/Mozilla-Ocho/llamafile/blob/main/llama.cpp/server/README.md#api-endpoints">llamafile server README</a>.</p> <details> <summary>Curl API Client Example</summary> <p dir="auto">The simplest way to get started using the API is to copy and paste the following curl command into your terminal.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="curl http://localhost:8080/v1/chat/completions \ -H &quot;Content-Type: application/json&quot; \ -H &quot;Authorization: Bearer no-key&quot; \ -d '{ &quot;model&quot;: &quot;LLaMA_CPP&quot;, &quot;messages&quot;: [ { &quot;role&quot;: &quot;system&quot;, &quot;content&quot;: &quot;You are LLAMAfile, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.&quot; }, { &quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Write a limerick about python exceptions&quot; } ] }' | python3 -c ' import json import sys json.dump(json.load(sys.stdin), sys.stdout, indent=2) print() '"><pre>curl http://localhost:8080/v1/chat/completions \ -H <span class="pl-s"><span class="pl-pds">"</span>Content-Type: application/json<span class="pl-pds">"</span></span> \ -H <span class="pl-s"><span class="pl-pds">"</span>Authorization: Bearer no-key<span class="pl-pds">"</span></span> \ -d <span class="pl-s"><span class="pl-pds">'</span>{</span> <span class="pl-s"> "model": "LLaMA_CPP",</span> <span class="pl-s"> "messages": [</span> <span class="pl-s"> {</span> <span class="pl-s"> "role": "system",</span> <span class="pl-s"> "content": "You are LLAMAfile, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."</span> <span class="pl-s"> },</span> <span class="pl-s"> {</span> <span class="pl-s"> "role": "user",</span> <span class="pl-s"> "content": "Write a limerick about python exceptions"</span> <span class="pl-s"> }</span> <span class="pl-s"> ]</span> <span class="pl-s">}<span class="pl-pds">'</span></span> <span class="pl-k">|</span> python3 -c <span class="pl-s"><span class="pl-pds">'</span></span> <span class="pl-s">import json</span> <span class="pl-s">import sys</span> <span class="pl-s">json.dump(json.load(sys.stdin), sys.stdout, indent=2)</span> <span class="pl-s">print()</span> <span class="pl-s"><span class="pl-pds">'</span></span></pre></div> <p dir="auto">The response that's printed should look like the following:</p> <div class="highlight highlight-source-json notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="{ &quot;choices&quot; : [ { &quot;finish_reason&quot; : &quot;stop&quot;, &quot;index&quot; : 0, &quot;message&quot; : { &quot;content&quot; : &quot;There once was a programmer named Mike\nWho wrote code that would often choke\nHe used try and except\nTo handle each step\nAnd his program ran without any hike.&quot;, &quot;role&quot; : &quot;assistant&quot; } } ], &quot;created&quot; : 1704199256, &quot;id&quot; : &quot;chatcmpl-Dt16ugf3vF8btUZj9psG7To5tc4murBU&quot;, &quot;model&quot; : &quot;LLaMA_CPP&quot;, &quot;object&quot; : &quot;chat.completion&quot;, &quot;usage&quot; : { &quot;completion_tokens&quot; : 38, &quot;prompt_tokens&quot; : 78, &quot;total_tokens&quot; : 116 } }"><pre>{ <span class="pl-ent">"choices"</span> : [ { <span class="pl-ent">"finish_reason"</span> : <span class="pl-s"><span class="pl-pds">"</span>stop<span class="pl-pds">"</span></span>, <span class="pl-ent">"index"</span> : <span class="pl-c1">0</span>, <span class="pl-ent">"message"</span> : { <span class="pl-ent">"content"</span> : <span class="pl-s"><span class="pl-pds">"</span>There once was a programmer named Mike<span class="pl-cce">\n</span>Who wrote code that would often choke<span class="pl-cce">\n</span>He used try and except<span class="pl-cce">\n</span>To handle each step<span class="pl-cce">\n</span>And his program ran without any hike.<span class="pl-pds">"</span></span>, <span class="pl-ent">"role"</span> : <span class="pl-s"><span class="pl-pds">"</span>assistant<span class="pl-pds">"</span></span> } } ], <span class="pl-ent">"created"</span> : <span class="pl-c1">1704199256</span>, <span class="pl-ent">"id"</span> : <span class="pl-s"><span class="pl-pds">"</span>chatcmpl-Dt16ugf3vF8btUZj9psG7To5tc4murBU<span class="pl-pds">"</span></span>, <span class="pl-ent">"model"</span> : <span class="pl-s"><span class="pl-pds">"</span>LLaMA_CPP<span class="pl-pds">"</span></span>, <span class="pl-ent">"object"</span> : <span class="pl-s"><span class="pl-pds">"</span>chat.completion<span class="pl-pds">"</span></span>, <span class="pl-ent">"usage"</span> : { <span class="pl-ent">"completion_tokens"</span> : <span class="pl-c1">38</span>, <span class="pl-ent">"prompt_tokens"</span> : <span class="pl-c1">78</span>, <span class="pl-ent">"total_tokens"</span> : <span class="pl-c1">116</span> } }</pre></div> </details> <details> <summary>Python API Client example</summary> <p dir="auto">If you've already developed your software using the <a href="https://pypi.org/project/openai/" rel="nofollow"><code>openai</code> Python package</a> (that's published by OpenAI) then you should be able to port your app to talk to llamafile instead, by making a few changes to <code>base_url</code> and <code>api_key</code>. This example assumes you've run <code>pip3 install openai</code> to install OpenAI's client software, which is required by this example. Their package is just a simple Python wrapper around the OpenAI API interface, which can be implemented by any server.</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="#!/usr/bin/env python3 from openai import OpenAI client = OpenAI( base_url=&quot;http://localhost:8080/v1&quot;, # &quot;http://&lt;Your api-server IP&gt;:port&quot; api_key = &quot;sk-no-key-required&quot; ) completion = client.chat.completions.create( model=&quot;LLaMA_CPP&quot;, messages=[ {&quot;role&quot;: &quot;system&quot;, &quot;content&quot;: &quot;You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests.&quot;}, {&quot;role&quot;: &quot;user&quot;, &quot;content&quot;: &quot;Write a limerick about python exceptions&quot;} ] ) print(completion.choices[0].message)"><pre><span class="pl-c">#!/usr/bin/env python3</span> <span class="pl-k">from</span> <span class="pl-s1">openai</span> <span class="pl-k">import</span> <span class="pl-v">OpenAI</span> <span class="pl-s1">client</span> <span class="pl-c1">=</span> <span class="pl-v">OpenAI</span>( <span class="pl-s1">base_url</span><span class="pl-c1">=</span><span class="pl-s">"http://localhost:8080/v1"</span>, <span class="pl-c"># "http://&lt;Your api-server IP&gt;:port"</span> <span class="pl-s1">api_key</span> <span class="pl-c1">=</span> <span class="pl-s">"sk-no-key-required"</span> ) <span class="pl-s1">completion</span> <span class="pl-c1">=</span> <span class="pl-s1">client</span>.<span class="pl-s1">chat</span>.<span class="pl-s1">completions</span>.<span class="pl-en">create</span>( <span class="pl-s1">model</span><span class="pl-c1">=</span><span class="pl-s">"LLaMA_CPP"</span>, <span class="pl-s1">messages</span><span class="pl-c1">=</span>[ {<span class="pl-s">"role"</span>: <span class="pl-s">"system"</span>, <span class="pl-s">"content"</span>: <span class="pl-s">"You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."</span>}, {<span class="pl-s">"role"</span>: <span class="pl-s">"user"</span>, <span class="pl-s">"content"</span>: <span class="pl-s">"Write a limerick about python exceptions"</span>} ] ) <span class="pl-en">print</span>(<span class="pl-s1">completion</span>.<span class="pl-s1">choices</span>[<span class="pl-c1">0</span>].<span class="pl-s1">message</span>)</pre></div> <p dir="auto">The above code will return a Python object like this:</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="ChatCompletionMessage(content='There once was a programmer named Mike\nWho wrote code that would often strike\nAn error would occur\nAnd he\'d shout &quot;Oh no!&quot;\nBut Python\'s exceptions made it all right.', role='assistant', function_call=None, tool_calls=None)"><pre><span class="pl-v">ChatCompletionMessage</span>(<span class="pl-s1">content</span><span class="pl-c1">=</span><span class="pl-s">'There once was a programmer named Mike<span class="pl-cce">\n</span>Who wrote code that would often strike<span class="pl-cce">\n</span>An error would occur<span class="pl-cce">\n</span>And he<span class="pl-cce">\'</span>d shout "Oh no!"<span class="pl-cce">\n</span>But Python<span class="pl-cce">\'</span>s exceptions made it all right.'</span>, <span class="pl-s1">role</span><span class="pl-c1">=</span><span class="pl-s">'assistant'</span>, <span class="pl-s1">function_call</span><span class="pl-c1">=</span><span class="pl-c1">None</span>, <span class="pl-s1">tool_calls</span><span class="pl-c1">=</span><span class="pl-c1">None</span>)</pre></div> </details> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Other example llamafiles</h2><a id="user-content-other-example-llamafiles" class="anchor" aria-label="Permalink: Other example llamafiles" href="#other-example-llamafiles"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">We also provide example llamafiles for other models, so you can easily try out llamafile with different kinds of LLMs.</p> <markdown-accessiblity-table><table> <thead> <tr> <th>Model</th> <th>Size</th> <th>License</th> <th>llamafile</th> <th>other quants</th> </tr> </thead> <tbody> <tr> <td>LLaMA 3.2 3B Instruct</td> <td>2.62 GB</td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile/blob/main/LICENSE" rel="nofollow">LLaMA 3.2</a></td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile/blob/main/Llama-3.2-3B-Instruct.Q6_K.llamafile?download=true" rel="nofollow">Llama-3.2-3B-Instruct.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-3B-Instruct-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>LLaMA 3.2 1B Instruct</td> <td>1.11 GB</td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile/blob/main/LICENSE" rel="nofollow">LLaMA 3.2</a></td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile/blob/main/Llama-3.2-1B-Instruct.Q6_K.llamafile?download=true" rel="nofollow">Llama-3.2-1B-Instruct.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Llama-3.2-1B-Instruct-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Gemma 2 2B Instruct</td> <td>2.32 GB</td> <td><a href="https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile/blob/main/LICENSE" rel="nofollow">Gemma 2</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile/blob/main/gemma-2-2b-it.Q6_K.llamafile?download=true" rel="nofollow">gemma-2-2b-it.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-2b-it-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Gemma 2 9B Instruct</td> <td>7.76 GB</td> <td><a href="https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile/blob/main/LICENSE" rel="nofollow">Gemma 2</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile/blob/main/gemma-2-9b-it.Q6_K.llamafile?download=true" rel="nofollow">gemma-2-9b-it.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-9b-it-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Gemma 2 27B Instruct</td> <td>22.5 GB</td> <td><a href="https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile/blob/main/LICENSE" rel="nofollow">Gemma 2</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile/blob/main/gemma-2-27b-it.Q6_K.llamafile?download=true" rel="nofollow">gemma-2-27b-it.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/gemma-2-27b-it-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>LLaVA 1.5</td> <td>3.97 GB</td> <td><a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" rel="nofollow">LLaMA 2</a></td> <td><a href="https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile/resolve/main/llava-v1.5-7b-q4.llamafile?download=true" rel="nofollow">llava-v1.5-7b-q4.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/llava-v1.5-7b-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>TinyLlama-1.1B</td> <td>2.05 GB</td> <td><a href="https://choosealicense.com/licenses/apache-2.0/" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/TinyLlama-1.1B-Chat-v1.0-llamafile/resolve/main/TinyLlama-1.1B-Chat-v1.0.F16.llamafile?download=true" rel="nofollow">TinyLlama-1.1B-Chat-v1.0.F16.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/TinyLlama-1.1B-Chat-v1.0-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Mistral-7B-Instruct</td> <td>3.85 GB</td> <td><a href="https://choosealicense.com/licenses/apache-2.0/" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/Mistral-7B-Instruct-v0.2-llamafile/resolve/main/mistral-7b-instruct-v0.2.Q4_0.llamafile?download=true" rel="nofollow">mistral-7b-instruct-v0.2.Q4_0.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Mistral-7B-Instruct-v0.2-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Phi-3-mini-4k-instruct</td> <td>7.67 GB</td> <td><a href="https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile/blob/main/LICENSE" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile/resolve/main/Phi-3-mini-4k-instruct.F16.llamafile?download=true" rel="nofollow">Phi-3-mini-4k-instruct.F16.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Phi-3-mini-4k-instruct-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Mixtral-8x7B-Instruct</td> <td>30.03 GB</td> <td><a href="https://choosealicense.com/licenses/apache-2.0/" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/Mixtral-8x7B-Instruct-v0.1-llamafile/resolve/main/mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile?download=true" rel="nofollow">mixtral-8x7b-instruct-v0.1.Q5_K_M.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Mixtral-8x7B-Instruct-v0.1-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>WizardCoder-Python-34B</td> <td>22.23 GB</td> <td><a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" rel="nofollow">LLaMA 2</a></td> <td><a href="https://huggingface.co/Mozilla/WizardCoder-Python-34B-V1.0-llamafile/resolve/main/wizardcoder-python-34b-v1.0.Q5_K_M.llamafile?download=true" rel="nofollow">wizardcoder-python-34b-v1.0.Q5_K_M.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/WizardCoder-Python-34B-V1.0-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>WizardCoder-Python-13B</td> <td>7.33 GB</td> <td><a href="https://ai.meta.com/resources/models-and-libraries/llama-downloads/" rel="nofollow">LLaMA 2</a></td> <td><a href="https://huggingface.co/jartine/wizardcoder-13b-python/resolve/main/wizardcoder-python-13b.llamafile?download=true" rel="nofollow">wizardcoder-python-13b.llamafile</a></td> <td><a href="https://huggingface.co/jartine/wizardcoder-13b-python" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>LLaMA-3-Instruct-70B</td> <td>37.25 GB</td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/blob/main/Meta-Llama-3-Community-License-Agreement.txt" rel="nofollow">llama3</a></td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-70B-Instruct-llamafile/resolve/main/Meta-Llama-3-70B-Instruct.Q4_0.llamafile?download=true" rel="nofollow">Meta-Llama-3-70B-Instruct.Q4_0.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-70B-Instruct-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>LLaMA-3-Instruct-8B</td> <td>5.37 GB</td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/blob/main/Meta-Llama-3-Community-License-Agreement.txt" rel="nofollow">llama3</a></td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/resolve/main/Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile?download=true" rel="nofollow">Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>Rocket-3B</td> <td>1.89 GB</td> <td><a href="https://creativecommons.org/licenses/by-sa/4.0/deed.en" rel="nofollow">cc-by-sa-4.0</a></td> <td><a href="https://huggingface.co/Mozilla/rocket-3B-llamafile/resolve/main/rocket-3b.Q5_K_M.llamafile?download=true" rel="nofollow">rocket-3b.Q5_K_M.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/rocket-3B-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>OLMo-7B</td> <td>5.68 GB</td> <td><a href="https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile/blob/main/LICENSE" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile/resolve/main/OLMo-7B-0424.Q6_K.llamafile?download=true" rel="nofollow">OLMo-7B-0424.Q6_K.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/OLMo-7B-0424-llamafile" rel="nofollow">See HF repo</a></td> </tr> <tr> <td><em>Text Embedding Models</em></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>E5-Mistral-7B-Instruct</td> <td>5.16 GB</td> <td><a href="https://choosealicense.com/licenses/mit/" rel="nofollow">MIT</a></td> <td><a href="https://huggingface.co/Mozilla/e5-mistral-7b-instruct/resolve/main/e5-mistral-7b-instruct-Q5_K_M.llamafile?download=true" rel="nofollow">e5-mistral-7b-instruct-Q5_K_M.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/e5-mistral-7b-instruct" rel="nofollow">See HF repo</a></td> </tr> <tr> <td>mxbai-embed-large-v1</td> <td>0.7 GB</td> <td><a href="https://choosealicense.com/licenses/apache-2.0/" rel="nofollow">Apache 2.0</a></td> <td><a href="https://huggingface.co/Mozilla/mxbai-embed-large-v1-llamafile/resolve/main/mxbai-embed-large-v1-f16.llamafile?download=true" rel="nofollow">mxbai-embed-large-v1-f16.llamafile</a></td> <td><a href="https://huggingface.co/Mozilla/mxbai-embed-large-v1-llamafile" rel="nofollow">See HF Repo</a></td> </tr> </tbody> </table></markdown-accessiblity-table> <p dir="auto">Here is an example for the Mistral command-line llamafile:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="./mistral-7b-instruct-v0.2.Q5_K_M.llamafile --temp 0.7 -p '[INST]Write a story about llamas[/INST]'"><pre>./mistral-7b-instruct-v0.2.Q5_K_M.llamafile --temp 0.7 -p <span class="pl-s"><span class="pl-pds">'</span>[INST]Write a story about llamas[/INST]<span class="pl-pds">'</span></span></pre></div> <p dir="auto">And here is an example for WizardCoder-Python command-line llamafile:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="./wizardcoder-python-13b.llamafile --temp 0 -e -r '```\n' -p '```c\nvoid *memcpy_sse2(char *dst, const char *src, size_t size) {\n'"><pre>./wizardcoder-python-13b.llamafile --temp 0 -e -r <span class="pl-s"><span class="pl-pds">'</span>```\n<span class="pl-pds">'</span></span> -p <span class="pl-s"><span class="pl-pds">'</span>```c\nvoid *memcpy_sse2(char *dst, const char *src, size_t size) {\n<span class="pl-pds">'</span></span></pre></div> <p dir="auto">And here's an example for the LLaVA command-line llamafile:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="./llava-v1.5-7b-q4.llamafile --temp 0.2 --image lemurs.jpg -e -p '### User: What do you see?\n### Assistant:'"><pre>./llava-v1.5-7b-q4.llamafile --temp 0.2 --image lemurs.jpg -e -p <span class="pl-s"><span class="pl-pds">'</span>### User: What do you see?\n### Assistant:<span class="pl-pds">'</span></span></pre></div> <p dir="auto">As before, macOS, Linux, and BSD users will need to use the "chmod" command to grant execution permissions to the file before running these llamafiles for the first time.</p> <p dir="auto">Unfortunately, Windows users cannot make use of many of these example llamafiles because Windows has a maximum executable file size of 4GB, and all of these examples exceed that size. (The LLaVA llamafile works on Windows because it is 30MB shy of the size limit.) But don't lose heart: llamafile allows you to use external weights; this is described later in this document.</p> <p dir="auto"><strong>Having trouble? See the "Gotchas" section below.</strong></p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">How llamafile works</h2><a id="user-content-how-llamafile-works" class="anchor" aria-label="Permalink: How llamafile works" href="#how-llamafile-works"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">A llamafile is an executable LLM that you can run on your own computer. It contains the weights for a given open LLM, as well as everything needed to actually run that model on your computer. There's nothing to install or configure (with a few caveats, discussed in subsequent sections of this document).</p> <p dir="auto">This is all accomplished by combining llama.cpp with Cosmopolitan Libc, which provides some useful capabilities:</p> <ol dir="auto"> <li> <p dir="auto">llamafiles can run on multiple CPU microarchitectures. We added runtime dispatching to llama.cpp that lets new Intel systems use modern CPU features without trading away support for older computers.</p> </li> <li> <p dir="auto">llamafiles can run on multiple CPU architectures. We do that by concatenating AMD64 and ARM64 builds with a shell script that launches the appropriate one. Our file format is compatible with WIN32 and most UNIX shells. It's also able to be easily converted (by either you or your users) to the platform-native format, whenever required.</p> </li> <li> <p dir="auto">llamafiles can run on six OSes (macOS, Windows, Linux, FreeBSD, OpenBSD, and NetBSD). If you make your own llama files, you'll only need to build your code once, using a Linux-style toolchain. The GCC-based compiler we provide is itself an Actually Portable Executable, so you can build your software for all six OSes from the comfort of whichever one you prefer most for development.</p> </li> <li> <p dir="auto">The weights for an LLM can be embedded within the llamafile. We added support for PKZIP to the GGML library. This lets uncompressed weights be mapped directly into memory, similar to a self-extracting archive. It enables quantized weights distributed online to be prefixed with a compatible version of the llama.cpp software, thereby ensuring its originally observed behaviors can be reproduced indefinitely.</p> </li> <li> <p dir="auto">Finally, with the tools included in this project you can create your <em>own</em> llamafiles, using any compatible model weights you want. You can then distribute these llamafiles to other people, who can easily make use of them regardless of what kind of computer they have.</p> </li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Using llamafile with external weights</h2><a id="user-content-using-llamafile-with-external-weights" class="anchor" aria-label="Permalink: Using llamafile with external weights" href="#using-llamafile-with-external-weights"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Even though our example llamafiles have the weights built-in, you don't <em>have</em> to use llamafile that way. Instead, you can download <em>just</em> the llamafile software (without any weights included) from our releases page. You can then use it alongside any external weights you may have on hand. External weights are particularly useful for Windows users because they enable you to work around Windows' 4GB executable file size limit.</p> <p dir="auto">For Windows users, here's an example for the Mistral LLM:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="curl -L -o llamafile.exe https://github.com/Mozilla-Ocho/llamafile/releases/download/0.8.11/llamafile-0.8.11 curl -L -o mistral.gguf https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf ./llamafile.exe -m mistral.gguf"><pre>curl -L -o llamafile.exe https://github.com/Mozilla-Ocho/llamafile/releases/download/0.8.11/llamafile-0.8.11 curl -L -o mistral.gguf https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf ./llamafile.exe -m mistral.gguf</pre></div> <p dir="auto">Windows users may need to change <code>./llamafile.exe</code> to <code>.\llamafile.exe</code> when running the above command.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Gotchas and troubleshooting</h2><a id="user-content-gotchas-and-troubleshooting" class="anchor" aria-label="Permalink: Gotchas and troubleshooting" href="#gotchas-and-troubleshooting"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">On any platform, if your llamafile process is immediately killed, check if you have CrowdStrike and then ask to be whitelisted.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Mac</h3><a id="user-content-mac" class="anchor" aria-label="Permalink: Mac" href="#mac"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">On macOS with Apple Silicon you need to have Xcode Command Line Tools installed for llamafile to be able to bootstrap itself.</p> <p dir="auto">If you use zsh and have trouble running llamafile, try saying <code>sh -c ./llamafile</code>. This is due to a bug that was fixed in zsh 5.9+. The same is the case for Python <code>subprocess</code>, old versions of Fish, etc.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Mac error "... cannot be opened because the developer cannot be verified"</h4><a id="user-content-mac-error--cannot-be-opened-because-the-developer-cannot-be-verified" class="anchor" aria-label="Permalink: Mac error &quot;... cannot be opened because the developer cannot be verified&quot;" href="#mac-error--cannot-be-opened-because-the-developer-cannot-be-verified"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li>Immediately launch System Settings, then go to Privacy &amp; Security. llamafile should be listed at the bottom, with a button to Allow.</li> <li>If not, then change your command in the Terminal to be <code>sudo spctl --master-disable; [llama launch command]; sudo spctl --master-enable</code>. This is because <code>--master-disable</code> disables <em>all</em> checking, so you need to turn it back on after quitting llama.</li> </ol> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Linux</h3><a id="user-content-linux" class="anchor" aria-label="Permalink: Linux" href="#linux"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">On some Linux systems, you might get errors relating to <code>run-detectors</code> or WINE. This is due to <code>binfmt_misc</code> registrations. You can fix that by adding an additional registration for the APE file format llamafile uses:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="sudo wget -O /usr/bin/ape https://cosmo.zip/pub/cosmos/bin/ape-$(uname -m).elf sudo chmod +x /usr/bin/ape sudo sh -c &quot;echo ':APE:M::MZqFpD::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register&quot; sudo sh -c &quot;echo ':APE-jart:M::jartsr::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register&quot;"><pre>sudo wget -O /usr/bin/ape https://cosmo.zip/pub/cosmos/bin/ape-<span class="pl-s"><span class="pl-pds">$(</span>uname -m<span class="pl-pds">)</span></span>.elf sudo chmod +x /usr/bin/ape sudo sh -c <span class="pl-s"><span class="pl-pds">"</span>echo ':APE:M::MZqFpD::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register<span class="pl-pds">"</span></span> sudo sh -c <span class="pl-s"><span class="pl-pds">"</span>echo ':APE-jart:M::jartsr::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register<span class="pl-pds">"</span></span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Windows</h3><a id="user-content-windows" class="anchor" aria-label="Permalink: Windows" href="#windows"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">As mentioned above, on Windows you may need to rename your llamafile by adding <code>.exe</code> to the filename.</p> <p dir="auto">Also as mentioned above, Windows also has a maximum file size limit of 4GB for executables. The LLaVA server executable above is just 30MB shy of that limit, so it'll work on Windows, but with larger models like WizardCoder 13B, you need to store the weights in a separate file. An example is provided above; see "Using llamafile with external weights."</p> <p dir="auto">On WSL, there are many possible gotchas. One thing that helps solve them completely is this:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="[Unit] Description=cosmopolitan APE binfmt service After=wsl-binfmt.service [Service] Type=oneshot ExecStart=/bin/sh -c &quot;echo ':APE:M::MZqFpD::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register&quot; [Install] WantedBy=multi-user.target"><pre class="notranslate"><code>[Unit] Description=cosmopolitan APE binfmt service After=wsl-binfmt.service [Service] Type=oneshot ExecStart=/bin/sh -c "echo ':APE:M::MZqFpD::/usr/bin/ape:' &gt;/proc/sys/fs/binfmt_misc/register" [Install] WantedBy=multi-user.target </code></pre></div> <p dir="auto">Put that in <code>/etc/systemd/system/cosmo-binfmt.service</code>.</p> <p dir="auto">Then run <code>sudo systemctl enable cosmo-binfmt</code>.</p> <p dir="auto">Another thing that's helped WSL users who experience issues, is to disable the WIN32 interop feature:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="sudo sh -c &quot;echo -1 &gt; /proc/sys/fs/binfmt_misc/WSLInterop&quot;"><pre>sudo sh -c <span class="pl-s"><span class="pl-pds">"</span>echo -1 &gt; /proc/sys/fs/binfmt_misc/WSLInterop<span class="pl-pds">"</span></span></pre></div> <p dir="auto">In the instance of getting a <code>Permission Denied</code> on disabling interop through CLI, it can be permanently disabled by adding the following in <code>/etc/wsl.conf</code></p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="[interop] enabled=false"><pre>[interop] enabled=false</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Supported OSes</h2><a id="user-content-supported-oses" class="anchor" aria-label="Permalink: Supported OSes" href="#supported-oses"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">llamafile supports the following operating systems, which require a minimum stock install:</p> <ul dir="auto"> <li>Linux 2.6.18+ (i.e. every distro since RHEL5 c. 2007)</li> <li>Darwin (macOS) 23.1.0+ [1] (GPU is only supported on ARM64)</li> <li>Windows 10+ (AMD64 only)</li> <li>FreeBSD 13+</li> <li>NetBSD 9.2+ (AMD64 only)</li> <li>OpenBSD 7+ (AMD64 only)</li> </ul> <p dir="auto">On Windows, llamafile runs as a native portable executable. On UNIX systems, llamafile extracts a small loader program named <code>ape</code> to <code>$TMPDIR/.llamafile</code> or <code>~/.ape-1.9</code> which is used to map your model into memory.</p> <p dir="auto">[1] Darwin kernel versions 15.6+ <em>should</em> be supported, but we currently have no way of testing that.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Supported CPUs</h2><a id="user-content-supported-cpus" class="anchor" aria-label="Permalink: Supported CPUs" href="#supported-cpus"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">llamafile supports the following CPUs:</p> <ul dir="auto"> <li> <p dir="auto"><strong>AMD64</strong> microprocessors must have AVX. Otherwise llamafile will print an error and refuse to run. This means that if you have an Intel CPU, it needs to be Intel Core or newer (circa 2006+), and if you have an AMD CPU, then it needs to be K8 or newer (circa 2003+). Support for AVX512, AVX2, FMA, F16C, and VNNI are conditionally enabled at runtime if you have a newer CPU. For example, Zen4 has very good AVX512 that can speed up BF16 llamafiles.</p> </li> <li> <p dir="auto"><strong>ARM64</strong> microprocessors must have ARMv8a+. This means everything from Apple Silicon to 64-bit Raspberry Pis will work, provided your weights fit into memory.</p> </li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">GPU support</h2><a id="user-content-gpu-support" class="anchor" aria-label="Permalink: GPU support" href="#gpu-support"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">llamafile supports the following kinds of GPUs:</p> <ul dir="auto"> <li>Apple Metal</li> <li>NVIDIA</li> <li>AMD</li> </ul> <p dir="auto">GPU on MacOS ARM64 is supported by compiling a small module using the Xcode Command Line Tools, which need to be installed. This is a one time cost that happens the first time you run your llamafile. The DSO built by llamafile is stored in <code>$TMPDIR/.llamafile</code> or <code>$HOME/.llamafile</code>. Offloading to GPU is enabled by default when a Metal GPU is present. This can be disabled by passing <code>-ngl 0</code> or <code>--gpu disable</code> to force llamafile to perform CPU inference.</p> <p dir="auto">Owners of NVIDIA and AMD graphics cards need to pass the <code>-ngl 999</code> flag to enable maximum offloading. If multiple GPUs are present then the work will be divided evenly among them by default, so you can load larger models. Multiple GPU support may be broken on AMD Radeon systems. If that happens to you, then use <code>export HIP_VISIBLE_DEVICES=0</code> which forces llamafile to only use the first GPU.</p> <p dir="auto">Windows users are encouraged to use our release binaries, because they contain prebuilt DLLs for both NVIDIA and AMD graphics cards, which only depend on the graphics driver being installed. If llamafile detects that NVIDIA's CUDA SDK or AMD's ROCm HIP SDK are installed, then llamafile will try to build a faster DLL that uses cuBLAS or rocBLAS. In order for llamafile to successfully build a cuBLAS module, it needs to be run on the x64 MSVC command prompt. You can use CUDA via WSL by enabling <a href="https://learn.microsoft.com/en-us/windows/ai/directml/gpu-cuda-in-wsl" rel="nofollow">Nvidia CUDA on WSL</a> and running your llamafiles inside of WSL. Using WSL has the added benefit of letting you run llamafiles greater than 4GB on Windows.</p> <p dir="auto">On Linux, NVIDIA users will need to install the CUDA SDK (ideally using the shell script installer) and ROCm users need to install the HIP SDK. They're detected by looking to see if <code>nvcc</code> or <code>hipcc</code> are on the PATH.</p> <p dir="auto">If you have both an AMD GPU <em>and</em> an NVIDIA GPU in your machine, then you may need to qualify which one you want used, by passing either <code>--gpu amd</code> or <code>--gpu nvidia</code>.</p> <p dir="auto">In the event that GPU support couldn't be compiled and dynamically linked on the fly for any reason, llamafile will fall back to CPU inference.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Source installation</h2><a id="user-content-source-installation" class="anchor" aria-label="Permalink: Source installation" href="#source-installation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Developing on llamafile requires a modern version of the GNU <code>make</code> command (called <code>gmake</code> on some systems), <code>sha256sum</code> (otherwise <code>cc</code> will be used to build it), <code>wget</code> (or <code>curl</code>), and <code>unzip</code> available at <a href="https://cosmo.zip/pub/cosmos/bin/" rel="nofollow">https://cosmo.zip/pub/cosmos/bin/</a>. Windows users need <a href="https://justine.lol/cosmo3/" rel="nofollow">cosmos bash</a> shell too.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="make -j8 sudo make install PREFIX=/usr/local"><pre>make -j8 sudo make install PREFIX=/usr/local</pre></div> <p dir="auto">Here's an example of how to generate code for a libc function using the llama.cpp command line interface, utilizing WizardCoder-Python-13B weights:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile \ -m wizardcoder-python-13b-v1.0.Q8_0.gguf \ --temp 0 -r '}\n' -r '```\n' \ -e -p '```c\nvoid *memcpy(void *dst, const void *src, size_t size) {\n'"><pre>llamafile \ -m wizardcoder-python-13b-v1.0.Q8_0.gguf \ --temp 0 -r <span class="pl-s"><span class="pl-pds">'</span>}\n<span class="pl-pds">'</span></span> -r <span class="pl-s"><span class="pl-pds">'</span>```\n<span class="pl-pds">'</span></span> \ -e -p <span class="pl-s"><span class="pl-pds">'</span>```c\nvoid *memcpy(void *dst, const void *src, size_t size) {\n<span class="pl-pds">'</span></span></pre></div> <p dir="auto">Here's a similar example that instead utilizes Mistral-7B-Instruct weights for prose composition:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile -ngl 9999 \ -m mistral-7b-instruct-v0.1.Q4_K_M.gguf \ -p '[INST]Write a story about llamas[/INST]'"><pre>llamafile -ngl 9999 \ -m mistral-7b-instruct-v0.1.Q4_K_M.gguf \ -p <span class="pl-s"><span class="pl-pds">'</span>[INST]Write a story about llamas[/INST]<span class="pl-pds">'</span></span></pre></div> <p dir="auto">Here's an example of how llamafile can be used as an interactive chatbot that lets you query knowledge contained in training data:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile -m llama-65b-Q5_K.gguf -p ' The following is a conversation between a Researcher and their helpful AI assistant Digital Athena which is a large language model trained on the sum of human knowledge. Researcher: Good morning. Digital Athena: How can I help you today? Researcher:' --interactive --color --batch_size 1024 --ctx_size 4096 \ --keep -1 --temp 0 --mirostat 2 --in-prefix ' ' --interactive-first \ --in-suffix 'Digital Athena:' --reverse-prompt 'Researcher:'"><pre>llamafile -m llama-65b-Q5_K.gguf -p <span class="pl-s"><span class="pl-pds">'</span></span> <span class="pl-s">The following is a conversation between a Researcher and their helpful AI assistant Digital Athena which is a large language model trained on the sum of human knowledge.</span> <span class="pl-s">Researcher: Good morning.</span> <span class="pl-s">Digital Athena: How can I help you today?</span> <span class="pl-s">Researcher:<span class="pl-pds">'</span></span> --interactive --color --batch_size 1024 --ctx_size 4096 \ --keep -1 --temp 0 --mirostat 2 --in-prefix <span class="pl-s"><span class="pl-pds">'</span> <span class="pl-pds">'</span></span> --interactive-first \ --in-suffix <span class="pl-s"><span class="pl-pds">'</span>Digital Athena:<span class="pl-pds">'</span></span> --reverse-prompt <span class="pl-s"><span class="pl-pds">'</span>Researcher:<span class="pl-pds">'</span></span></pre></div> <p dir="auto">Here's an example of how you can use llamafile to summarize HTML URLs:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="( echo '[INST]Summarize the following text:' links -codepage utf-8 \ -force-html \ -width 500 \ -dump https://www.poetryfoundation.org/poems/48860/the-raven | sed 's/ */ /g' echo '[/INST]' ) | llamafile -ngl 9999 \ -m mistral-7b-instruct-v0.2.Q5_K_M.gguf \ -f /dev/stdin \ -c 0 \ --temp 0 \ -n 500 \ --no-display-prompt 2&gt;/dev/null"><pre>( <span class="pl-c1">echo</span> <span class="pl-s"><span class="pl-pds">'</span>[INST]Summarize the following text:<span class="pl-pds">'</span></span> links -codepage utf-8 \ -force-html \ -width 500 \ -dump https://www.poetryfoundation.org/poems/48860/the-raven <span class="pl-k">|</span> sed <span class="pl-s"><span class="pl-pds">'</span>s/ */ /g<span class="pl-pds">'</span></span> <span class="pl-c1">echo</span> <span class="pl-s"><span class="pl-pds">'</span>[/INST]<span class="pl-pds">'</span></span> ) <span class="pl-k">|</span> llamafile -ngl 9999 \ -m mistral-7b-instruct-v0.2.Q5_K_M.gguf \ -f /dev/stdin \ -c 0 \ --temp 0 \ -n 500 \ --no-display-prompt <span class="pl-k">2&gt;</span>/dev/null</pre></div> <p dir="auto">Here's how you can use llamafile to describe a jpg/png/gif/bmp image:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile -ngl 9999 --temp 0 \ --image ~/Pictures/lemurs.jpg \ -m llava-v1.5-7b-Q4_K.gguf \ --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \ -e -p '### User: What do you see?\n### Assistant: ' \ --no-display-prompt 2&gt;/dev/null"><pre>llamafile -ngl 9999 --temp 0 \ --image <span class="pl-k">~</span>/Pictures/lemurs.jpg \ -m llava-v1.5-7b-Q4_K.gguf \ --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \ -e -p <span class="pl-s"><span class="pl-pds">'</span>### User: What do you see?\n### Assistant: <span class="pl-pds">'</span></span> \ --no-display-prompt <span class="pl-k">2&gt;</span>/dev/null</pre></div> <p dir="auto">It's possible to use BNF grammar to enforce the output is predictable and safe to use in your shell script. The simplest grammar would be <code>--grammar 'root ::= "yes" | "no"'</code> to force the LLM to only print to standard output either <code>"yes\n"</code> or <code>"no\n"</code>. Another example is if you wanted to write a script to rename all your image files, you could say:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile -ngl 9999 --temp 0 \ --image lemurs.jpg \ -m llava-v1.5-7b-Q4_K.gguf \ --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \ --grammar 'root ::= [a-z]+ (&quot; &quot; [a-z]+)+' \ -e -p '### User: What do you see?\n### Assistant: ' \ --no-display-prompt 2&gt;/dev/null | sed -e's/ /_/g' -e's/$/.jpg/' a_baby_monkey_on_the_back_of_a_mother.jpg"><pre>llamafile -ngl 9999 --temp 0 \ --image lemurs.jpg \ -m llava-v1.5-7b-Q4_K.gguf \ --mmproj llava-v1.5-7b-mmproj-Q4_0.gguf \ --grammar <span class="pl-s"><span class="pl-pds">'</span>root ::= [a-z]+ (" " [a-z]+)+<span class="pl-pds">'</span></span> \ -e -p <span class="pl-s"><span class="pl-pds">'</span>### User: What do you see?\n### Assistant: <span class="pl-pds">'</span></span> \ --no-display-prompt <span class="pl-k">2&gt;</span>/dev/null <span class="pl-k">|</span> sed -e<span class="pl-s"><span class="pl-pds">'</span>s/ /_/g<span class="pl-pds">'</span></span> -e<span class="pl-s"><span class="pl-pds">'</span>s/$/.jpg/<span class="pl-pds">'</span></span> a_baby_monkey_on_the_back_of_a_mother.jpg</pre></div> <p dir="auto">Here's an example of how to run llama.cpp's built-in HTTP server. This example uses LLaVA v1.5-7B, a multimodal LLM that works with llama.cpp's recently-added support for image inputs.</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="llamafile -ngl 9999 \ -m llava-v1.5-7b-Q8_0.gguf \ --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf \ --host 0.0.0.0"><pre>llamafile -ngl 9999 \ -m llava-v1.5-7b-Q8_0.gguf \ --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf \ --host 0.0.0.0</pre></div> <p dir="auto">The above command will launch a browser tab on your personal computer to display a web interface. It lets you chat with your LLM and upload images to it.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Creating llamafiles</h2><a id="user-content-creating-llamafiles" class="anchor" aria-label="Permalink: Creating llamafiles" href="#creating-llamafiles"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If you want to be able to just say:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="./llava.llamafile"><pre>./llava.llamafile</pre></div> <p dir="auto">...and have it run the web server without having to specify arguments, then you can embed both the weights and a special <code>.args</code> inside, which specifies the default arguments. First, let's create a file named <code>.args</code> which has this content:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="-m llava-v1.5-7b-Q8_0.gguf --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf --host 0.0.0.0 -ngl 9999 ..."><pre>-m llava-v1.5-7b-Q8_0.gguf --mmproj llava-v1.5-7b-mmproj-Q8_0.gguf --host 0.0.0.0 -ngl 9999 ...</pre></div> <p dir="auto">As we can see above, there's one argument per line. The <code>...</code> argument optionally specifies where any additional CLI arguments passed by the user are to be inserted. Next, we'll add both the weights and the argument file to the executable:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="cp /usr/local/bin/llamafile llava.llamafile zipalign -j0 \ llava.llamafile \ llava-v1.5-7b-Q8_0.gguf \ llava-v1.5-7b-mmproj-Q8_0.gguf \ .args ./llava.llamafile"><pre>cp /usr/local/bin/llamafile llava.llamafile zipalign -j0 \ llava.llamafile \ llava-v1.5-7b-Q8_0.gguf \ llava-v1.5-7b-mmproj-Q8_0.gguf \ .args ./llava.llamafile</pre></div> <p dir="auto">Congratulations. You've just made your own LLM executable that's easy to share with your friends.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Distribution</h2><a id="user-content-distribution" class="anchor" aria-label="Permalink: Distribution" href="#distribution"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">One good way to share a llamafile with your friends is by posting it on Hugging Face. If you do that, then it's recommended that you mention in your Hugging Face commit message what git revision or released version of llamafile you used when building your llamafile. That way everyone online will be able verify the provenance of its executable content. If you've made changes to the llama.cpp or cosmopolitan source code, then the Apache 2.0 license requires you to explain what changed. One way you can do that is by embedding a notice in your llamafile using <code>zipalign</code> that describes the changes, and mention it in your Hugging Face commit.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Documentation</h2><a id="user-content-documentation" class="anchor" aria-label="Permalink: Documentation" href="#documentation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">There's a manual page for each of the llamafile programs installed when you run <code>sudo make install</code>. The command manuals are also typeset as PDF files that you can download from our GitHub releases page. Lastly, most commands will display that information when passing the <code>--help</code> flag.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Running llamafile with models downloaded by third-party applications</h2><a id="user-content-running-llamafile-with-models-downloaded-by-third-party-applications" class="anchor" aria-label="Permalink: Running llamafile with models downloaded by third-party applications" href="#running-llamafile-with-models-downloaded-by-third-party-applications"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This section answers the question <em>"I already have a model downloaded locally by application X, can I use it with llamafile?"</em>. The general answer is "yes, as long as those models are locally stored in GGUF format" but its implementation can be more or less hacky depending on the application. A few examples (tested on a Mac) follow.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">LM Studio</h3><a id="user-content-lm-studio" class="anchor" aria-label="Permalink: LM Studio" href="#lm-studio"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://lmstudio.ai/" rel="nofollow">LM Studio</a> stores downloaded models in <code>~/.cache/lm-studio/models</code>, in subdirectories with the same name of the models (following HuggingFace's <code>account_name/model_name</code> format), with the same filename you saw when you chose to download the file.</p> <p dir="auto">So if you have downloaded e.g. the <code>llama-2-7b.Q2_K.gguf</code> file for <code>TheBloke/Llama-2-7B-GGUF</code>, you can run llamafile as follows:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="cd ~/.cache/lm-studio/models/TheBloke/Llama-2-7B-GGUF llamafile -m llama-2-7b.Q2_K.gguf"><pre class="notranslate"><code>cd ~/.cache/lm-studio/models/TheBloke/Llama-2-7B-GGUF llamafile -m llama-2-7b.Q2_K.gguf </code></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Ollama</h3><a id="user-content-ollama" class="anchor" aria-label="Permalink: Ollama" href="#ollama"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">When you download a new model with <a href="https://ollama.com" rel="nofollow">ollama</a>, all its metadata will be stored in a manifest file under <code>~/.ollama/models/manifests/registry.ollama.ai/library/</code>. The directory and manifest file name are the model name as returned by <code>ollama list</code>. For instance, for <code>llama3:latest</code> the manifest file will be named <code>.ollama/models/manifests/registry.ollama.ai/library/llama3/latest</code>.</p> <p dir="auto">The manifest maps each file related to the model (e.g. GGUF weights, license, prompt template, etc) to a sha256 digest. The digest corresponding to the element whose <code>mediaType</code> is <code>application/vnd.ollama.image.model</code> is the one referring to the model's GGUF file.</p> <p dir="auto">Each sha256 digest is also used as a filename in the <code>~/.ollama/models/blobs</code> directory (if you look into that directory you'll see <em>only</em> those sha256-* filenames). This means you can directly run llamafile by passing the sha256 digest as the model filename. So if e.g. the <code>llama3:latest</code> GGUF file digest is <code>sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29</code>, you can run llamafile as follows:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="cd ~/.ollama/models/blobs llamafile -m sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29"><pre class="notranslate"><code>cd ~/.ollama/models/blobs llamafile -m sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29 </code></pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Technical details</h2><a id="user-content-technical-details" class="anchor" aria-label="Permalink: Technical details" href="#technical-details"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Here is a succinct overview of the tricks we used to create the fattest executable format ever. The long story short is llamafile is a shell script that launches itself and runs inference on embedded weights in milliseconds without needing to be copied or installed. What makes that possible is mmap(). Both the llama.cpp executable and the weights are concatenated onto the shell script. A tiny loader program is then extracted by the shell script, which maps the executable into memory. The llama.cpp executable then opens the shell script again as a file, and calls mmap() again to pull the weights into memory and make them directly accessible to both the CPU and GPU.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">ZIP weights embedding</h3><a id="user-content-zip-weights-embedding" class="anchor" aria-label="Permalink: ZIP weights embedding" href="#zip-weights-embedding"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The trick to embedding weights inside llama.cpp executables is to ensure the local file is aligned on a page size boundary. That way, assuming the zip file is uncompressed, once it's mmap()'d into memory we can pass pointers directly to GPUs like Apple Metal, which require that data be page size aligned. Since no existing ZIP archiving tool has an alignment flag, we had to write about <a href="/Mozilla-Ocho/llamafile/blob/main/llamafile/zipalign.c">500 lines of code</a> to insert the ZIP files ourselves. However, once there, every existing ZIP program should be able to read them, provided they support ZIP64. This makes the weights much more easily accessible than they otherwise would have been, had we invented our own file format for concatenated files.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Microarchitectural portability</h3><a id="user-content-microarchitectural-portability" class="anchor" aria-label="Permalink: Microarchitectural portability" href="#microarchitectural-portability"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">On Intel and AMD microprocessors, llama.cpp spends most of its time in the matmul quants, which are usually written thrice for SSSE3, AVX, and AVX2. llamafile pulls each of these functions out into a separate file that can be <code>#include</code>ed multiple times, with varying <code>__attribute__((__target__("arch")))</code> function attributes. Then, a wrapper function is added which uses Cosmopolitan's <code>X86_HAVE(FOO)</code> feature to runtime dispatch to the appropriate implementation.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Architecture portability</h3><a id="user-content-architecture-portability" class="anchor" aria-label="Permalink: Architecture portability" href="#architecture-portability"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">llamafile solves architecture portability by building llama.cpp twice: once for AMD64 and again for ARM64. It then wraps them with a shell script which has an MZ prefix. On Windows, it'll run as a native binary. On Linux, it'll extract a small 8kb executable called <a href="https://github.com/jart/cosmopolitan/blob/master/ape/loader.c">APE Loader</a> to <code>${TMPDIR:-${HOME:-.}}/.ape</code> that'll map the binary portions of the shell script into memory. It's possible to avoid this process by running the <a href="https://github.com/jart/cosmopolitan/blob/master/tool/build/assimilate.c"><code>assimilate</code></a> program that comes included with the <code>cosmocc</code> compiler. What the <code>assimilate</code> program does is turn the shell script executable into the host platform's native executable format. This guarantees a fallback path exists for traditional release processes when it's needed.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">GPU support</h3><a id="user-content-gpu-support-1" class="anchor" aria-label="Permalink: GPU support" href="#gpu-support-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Cosmopolitan Libc uses static linking, since that's the only way to get the same executable to run on six OSes. This presents a challenge for llama.cpp, because it's not possible to statically link GPU support. The way we solve that is by checking if a compiler is installed on the host system. For Apple, that would be Xcode, and for other platforms, that would be <code>nvcc</code>. llama.cpp has a single file implementation of each GPU module, named <code>ggml-metal.m</code> (Objective C) and <code>ggml-cuda.cu</code> (Nvidia C). llamafile embeds those source files within the zip archive and asks the platform compiler to build them at runtime, targeting the native GPU microarchitecture. If it works, then it's linked with platform C library dlopen() implementation. See <a href="/Mozilla-Ocho/llamafile/blob/main/llamafile/cuda.c">llamafile/cuda.c</a> and <a href="/Mozilla-Ocho/llamafile/blob/main/llamafile/metal.c">llamafile/metal.c</a>.</p> <p dir="auto">In order to use the platform-specific dlopen() function, we need to ask the platform-specific compiler to build a small executable that exposes these interfaces. On ELF platforms, Cosmopolitan Libc maps this helper executable into memory along with the platform's ELF interpreter. The platform C library then takes care of linking all the GPU libraries, and then runs the helper program which longjmp()'s back into Cosmopolitan. The executable program is now in a weird hybrid state where two separate C libraries exist which have different ABIs. For example, thread local storage works differently on each operating system, and programs will crash if the TLS register doesn't point to the appropriate memory. The way Cosmopolitan Libc solves that on AMD is by using SSE to recompile the executable at runtime to change <code>%fs</code> register accesses into <code>%gs</code> which takes a millisecond. On ARM, Cosmo uses the <code>x28</code> register for TLS which can be made safe by passing the <code>-ffixed-x28</code> flag when compiling GPU modules. Lastly, llamafile uses the <code>__ms_abi__</code> attribute so that function pointers passed between the application and GPU modules conform to the Windows calling convention. Amazingly enough, every compiler we tested, including nvcc on Linux and even Objective-C on MacOS, all support compiling WIN32 style functions, thus ensuring your llamafile will be able to talk to Windows drivers, when it's run on Windows, without needing to be recompiled as a separate file for Windows. See <a href="https://github.com/jart/cosmopolitan/blob/master/libc/dlopen/dlopen.c">cosmopolitan/dlopen.c</a> for further details.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">A note about models</h2><a id="user-content-a-note-about-models" class="anchor" aria-label="Permalink: A note about models" href="#a-note-about-models"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The example llamafiles provided above should not be interpreted as endorsements or recommendations of specific models, licenses, or data sets on the part of Mozilla.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Security</h2><a id="user-content-security" class="anchor" aria-label="Permalink: Security" href="#security"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">llamafile adds pledge() and SECCOMP sandboxing to llama.cpp. This is enabled by default. It can be turned off by passing the <code>--unsecure</code> flag. Sandboxing is currently only supported on Linux and OpenBSD on systems without GPUs; on other platforms it'll simply log a warning.</p> <p dir="auto">Our approach to security has these benefits:</p> <ol dir="auto"> <li> <p dir="auto">After it starts up, your HTTP server isn't able to access the filesystem at all. This is good, since it means if someone discovers a bug in the llama.cpp server, then it's much less likely they'll be able to access sensitive information on your machine or make changes to its configuration. On Linux, we're able to sandbox things even further; the only networking related system call the HTTP server will allowed to use after starting up, is accept(). That further limits an attacker's ability to exfiltrate information, in the event that your HTTP server is compromised.</p> </li> <li> <p dir="auto">The main CLI command won't be able to access the network at all. This is enforced by the operating system kernel. It also won't be able to write to the file system. This keeps your computer safe in the event that a bug is ever discovered in the GGUF file format that lets an attacker craft malicious weights files and post them online. The only exception to this rule is if you pass the <code>--prompt-cache</code> flag without also specifying <code>--prompt-cache-ro</code>. In that case, security currently needs to be weakened to allow <code>cpath</code> and <code>wpath</code> access, but network access will remain forbidden.</p> </li> </ol> <p dir="auto">Therefore your llamafile is able to protect itself against the outside world, but that doesn't mean you're protected from llamafile. Sandboxing is self-imposed. If you obtained your llamafile from an untrusted source then its author could have simply modified it to not do that. In that case, you can run the untrusted llamafile inside another sandbox, such as a virtual machine, to make sure it behaves how you expect.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Licensing</h2><a id="user-content-licensing" class="anchor" aria-label="Permalink: Licensing" href="#licensing"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">While the llamafile project is Apache 2.0-licensed, our changes to llama.cpp are licensed under MIT (just like the llama.cpp project itself) so as to remain compatible and upstreamable in the future, should that be desired.</p> <p dir="auto">The llamafile logo on this page was generated with the assistance of DALL·E 3.</p> <p dir="auto"><a href="https://star-history.com/#Mozilla-Ocho/llamafile&amp;Date" rel="nofollow"><img src="https://camo.githubusercontent.com/2d16cb1aa5402c08d2647c727799d08ac608a07ad089ab1696434ea87742c065/68747470733a2f2f6170692e737461722d686973746f72792e636f6d2f7376673f7265706f733d4d6f7a696c6c612d4f63686f2f6c6c616d6166696c6526747970653d44617465" alt="Star History Chart" data-canonical-src="https://api.star-history.com/svg?repos=Mozilla-Ocho/llamafile&amp;type=Date" style="max-width: 100%;"></a></p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" 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0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg> <strong>20.6k</strong> stars </a> </div> <h3 class="sr-only">Watchers</h3> <div class="mt-2"> <a href="/Mozilla-Ocho/llamafile/watchers" data-view-component="true" class="Link Link--muted"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-eye mr-2"> <path d="M8 2c1.981 0 3.671.992 4.933 2.078 1.27 1.091 2.187 2.345 2.637 3.023a1.62 1.62 0 0 1 0 1.798c-.45.678-1.367 1.932-2.637 3.023C11.67 13.008 9.981 14 8 14c-1.981 0-3.671-.992-4.933-2.078C1.797 10.83.88 9.576.43 8.898a1.62 1.62 0 0 1 0-1.798c.45-.677 1.367-1.931 2.637-3.022C4.33 2.992 6.019 2 8 2ZM1.679 7.932a.12.12 0 0 0 0 .136c.411.622 1.241 1.75 2.366 2.717C5.176 11.758 6.527 12.5 8 12.5c1.473 0 2.825-.742 3.955-1.715 1.124-.967 1.954-2.096 2.366-2.717a.12.12 0 0 0 0-.136c-.412-.621-1.242-1.75-2.366-2.717C10.824 4.242 9.473 3.5 8 3.5c-1.473 0-2.825.742-3.955 1.715-1.124.967-1.954 2.096-2.366 2.717ZM8 10a2 2 0 1 1-.001-3.999A2 2 0 0 1 8 10Z"></path> </svg> <strong>174</strong> watching </a> </div> <h3 class="sr-only">Forks</h3> <div class="mt-2"> <a href="/Mozilla-Ocho/llamafile/forks" data-view-component="true" class="Link Link--muted"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo-forked mr-2"> <path d="M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z"></path> </svg> <strong>1k</strong> forks </a> </div> <div class="mt-2"> <a class="Link--muted" href="/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FMozilla-Ocho%2Fllamafile&amp;report=Mozilla-Ocho+%28user%29"> Report repository </a> </div> </div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame"> <a href="/Mozilla-Ocho/llamafile/releases" data-view-component="true" class="Link--primary no-underline Link"> Releases <span title="31" data-view-component="true" class="Counter">31</span> </a></h2> <a class="Link--primary d-flex no-underline" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/Mozilla-Ocho/llamafile/releases/tag/0.8.16"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-tag flex-shrink-0 mt-1 color-fg-success"> <path d="M1 7.775V2.75C1 1.784 1.784 1 2.75 1h5.025c.464 0 .91.184 1.238.513l6.25 6.25a1.75 1.75 0 0 1 0 2.474l-5.026 5.026a1.75 1.75 0 0 1-2.474 0l-6.25-6.25A1.752 1.752 0 0 1 1 7.775Zm1.5 0c0 .066.026.13.073.177l6.25 6.25a.25.25 0 0 0 .354 0l5.025-5.025a.25.25 0 0 0 0-.354l-6.25-6.25a.25.25 0 0 0-.177-.073H2.75a.25.25 0 0 0-.25.25ZM6 5a1 1 0 1 1 0 2 1 1 0 0 1 0-2Z"></path> </svg> <div class="ml-2 min-width-0"> <div class="d-flex"> <span class="css-truncate css-truncate-target text-bold mr-2" style="max-width: none;">llamafile v0.8.16</span> <span title="Label: Latest" data-view-component="true" class="Label Label--success flex-shrink-0"> Latest </span> </div> <div class="text-small color-fg-muted"><relative-time datetime="2024-11-02T03:42:24Z" class="no-wrap">Nov 2, 2024</relative-time></div> </div> </a> <div data-view-component="true" class="mt-3"> <a text="small" data-pjax="#repo-content-pjax-container" data-turbo-frame="repo-content-turbo-frame" href="/Mozilla-Ocho/llamafile/releases" data-view-component="true" class="Link"> + 30 releases </a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/orgs/Mozilla-Ocho/packages?repo_name=llamafile" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center"> Packages <span title="0" hidden="hidden" data-view-component="true" class="Counter ml-1">0</span> </a></h2> <div class="text-small color-fg-muted" > No packages published <br> </div> </div> </div> <div class="BorderGrid-row" hidden> <div class="BorderGrid-cell"> <include-fragment src="/Mozilla-Ocho/llamafile/used_by_list" accept="text/fragment+html"> </include-fragment> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3"> <a href="/Mozilla-Ocho/llamafile/graphs/contributors" data-view-component="true" class="Link--primary no-underline Link d-flex flex-items-center"> Contributors <span title="47" data-view-component="true" class="Counter ml-1">47</span> </a></h2> <include-fragment src="/Mozilla-Ocho/llamafile/contributors_list?count=47&amp;current_repository=llamafile&amp;items_to_show=14" aria-busy="true" aria-label="Loading contributors"> <ul class="list-style-none d-flex flex-wrap mb-n2"> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> <li class="mb-2 "> <div class="Skeleton avatar avatar-user mr-2" style="width:32px;height:32px;"></div> </li> </ul> </include-fragment> <div data-view-component="true" class="mt-3"> <a text="small" href="/Mozilla-Ocho/llamafile/graphs/contributors" data-view-component="true" class="Link--inTextBlock Link"> + 33 contributors </a></div> </div> </div> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <h2 class="h4 mb-3">Languages</h2> <div class="mb-2"> <span data-view-component="true" class="Progress"> <span style="background-color:#f34b7d !important;;width: 82.7%;" itemprop="keywords" aria-label="C++ 82.7" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#555555 !important;;width: 14.3%;" itemprop="keywords" aria-label="C 14.3" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#f1e05a !important;;width: 1.1%;" itemprop="keywords" aria-label="JavaScript 1.1" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#8f14e9 !important;;width: 0.8%;" itemprop="keywords" aria-label="Metal 0.8" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#438eff !important;;width: 0.4%;" itemprop="keywords" aria-label="Objective-C 0.4" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#B9D9FF !important;;width: 0.2%;" itemprop="keywords" aria-label="AGS Script 0.2" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> <span style="background-color:#ededed !important;;width: 0.5%;" itemprop="keywords" aria-label="Other 0.5" data-view-component="true" class="Progress-item color-bg-success-emphasis"></span> </span></div> <ul class="list-style-none"> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=c%2B%2B" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#f34b7d;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">C++</span> <span>82.7%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=c" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#555555;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">C</span> <span>14.3%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=javascript" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#f1e05a;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">JavaScript</span> <span>1.1%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=metal" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#8f14e9;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Metal</span> <span>0.8%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=objective-c" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#438eff;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Objective-C</span> <span>0.4%</span> </a> </li> <li class="d-inline"> <a class="d-inline-flex flex-items-center flex-nowrap Link--secondary no-underline text-small mr-3" href="/Mozilla-Ocho/llamafile/search?l=ags-script" data-ga-click="Repository, language stats search click, location:repo overview"> <svg style="color:#B9D9FF;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">AGS Script</span> <span>0.2%</span> </a> </li> <li class="d-inline"> <span class="d-inline-flex flex-items-center flex-nowrap text-small mr-3"> <svg style="color:#ededed;" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill mr-2"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> <span class="color-fg-default text-bold mr-1">Other</span> <span>0.5%</span> </span> </li> </ul> </div> </div> </div> </div> </div></div> </div> </div> </turbo-frame> </main> </div> </div> <footer class="footer pt-8 pb-6 f6 color-fg-muted p-responsive" role="contentinfo" > <h2 class='sr-only'>Footer</h2> <div class="d-flex flex-justify-center flex-items-center flex-column-reverse flex-lg-row flex-wrap flex-lg-nowrap"> <div class="d-flex flex-items-center flex-shrink-0 mx-2"> <a aria-label="Homepage" title="GitHub" class="footer-octicon mr-2" 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data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> You can’t perform that action at this time. </div> <template id="site-details-dialog"> <details class="details-reset details-overlay details-overlay-dark lh-default color-fg-default hx_rsm" open> <summary role="button" aria-label="Close dialog"></summary> <details-dialog class="Box Box--overlay d-flex flex-column anim-fade-in fast hx_rsm-dialog hx_rsm-modal"> <button class="Box-btn-octicon m-0 btn-octicon position-absolute right-0 top-0" type="button" aria-label="Close dialog" data-close-dialog> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> <div class="octocat-spinner my-6 js-details-dialog-spinner"></div> </details-dialog> </details> </template> <div class="Popover js-hovercard-content position-absolute" style="display: none; outline: none;"> <div class="Popover-message Popover-message--bottom-left Popover-message--large Box color-shadow-large" style="width:360px;"> </div> </div> <template id="snippet-clipboard-copy-button"> <div class="zeroclipboard-container position-absolute right-0 top-0"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn js-clipboard-copy m-2 p-0" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon m-2"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none m-2"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> <template id="snippet-clipboard-copy-button-unpositioned"> <div class="zeroclipboard-container"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> </div> <div id="js-global-screen-reader-notice" class="sr-only mt-n1" aria-live="polite" aria-atomic="true" ></div> <div id="js-global-screen-reader-notice-assertive" class="sr-only mt-n1" aria-live="assertive" aria-atomic="true"></div> </body> </html>

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