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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"> Product <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 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 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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="{"location":"navbar","action":"security","context":"product","tag":"link","label":"security_link_product_navbar"}" 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="{"location":"navbar","action":"actions","context":"product","tag":"link","label":"actions_link_product_navbar"}" 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 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z"></path> </svg> <div> <div class="color-fg-default h4">Actions</div> Automate any workflow </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="{"location":"navbar","action":"codespaces","context":"product","tag":"link","label":"codespaces_link_product_navbar"}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 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" 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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="{"location":"navbar","action":"code_search","context":"product","tag":"link","label":"code_search_link_product_navbar"}" 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 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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="IOTmwFUe9NCEMd9NP3TxD4lHUUtAUtEtBAQ3MljbcKSJKlCzzMTMCP0KdtUCaKWwQaIvjtaM9s9Bl8D3okw3BQ==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" 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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\u003e\u003ca href=\"#demo\"\u003eDemo\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#supported-models\"\u003eSupported Models\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#how-to-install\"\u003eHow to install\u003c/a\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"#install-llamagpt-on-your-umbrelos-home-server\"\u003eOn umbrelOS home server\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#install-llamagpt-on-m1m2-mac\"\u003eOn M1/M2 Mac\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#install-llamagpt-anywhere-else-with-docker\"\u003eAnywhere else with Docker\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#install-llamagpt-with-kubernetes\"\u003eKubernetes\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#openai-compatible-api\"\u003eOpenAI-compatible API\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#benchmarks\"\u003eBenchmarks\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#roadmap-and-contributing\"\u003eRoadmap and contributing\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"#acknowledgements\"\u003eAcknowledgements\u003c/a\u003e\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDemo\u003c/h2\u003e\u003ca id=\"user-content-demo\" class=\"anchor\" aria-label=\"Permalink: Demo\" href=\"#demo\"\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\u003cdetails open=\"\" class=\"details-reset border rounded-2\"\u003e\n \u003csummary class=\"px-3 py-2\"\u003e\n \u003csvg aria-hidden=\"true\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-device-camera-video\"\u003e\n \u003cpath d=\"M16 3.75v8.5a.75.75 0 0 1-1.136.643L11 10.575v.675A1.75 1.75 0 0 1 9.25 13h-7.5A1.75 1.75 0 0 1 0 11.25v-6.5C0 3.784.784 3 1.75 3h7.5c.966 0 1.75.784 1.75 1.75v.675l3.864-2.318A.75.75 0 0 1 16 3.75Zm-6.5 1a.25.25 0 0 0-.25-.25h-7.5a.25.25 0 0 0-.25.25v6.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-6.5ZM11 8.825l3.5 2.1v-5.85l-3.5 2.1Z\"\u003e\u003c/path\u003e\n\u003c/svg\u003e\n \u003cspan aria-label=\"Video description LlamaGPT.mp4\" class=\"m-1\"\u003eLlamaGPT.mp4\u003c/span\u003e\n \u003cspan class=\"dropdown-caret\"\u003e\u003c/span\u003e\n \u003c/summary\u003e\n\n \u003cvideo src=\"https://private-user-images.githubusercontent.com/10330103/261046099-5d1a76b8-ed03-4a51-90bd-12ebfaf1e6cd.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.LqOCPyF_cC4mWlGDA5iQUBtdXEGJDkGinD-P_kdgk2I\" data-canonical-src=\"https://private-user-images.githubusercontent.com/10330103/261046099-5d1a76b8-ed03-4a51-90bd-12ebfaf1e6cd.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.LqOCPyF_cC4mWlGDA5iQUBtdXEGJDkGinD-P_kdgk2I\" controls=\"controls\" muted=\"muted\" class=\"d-block rounded-bottom-2 border-top width-fit\" style=\"max-height:640px; min-height: 200px\"\u003e\n\n \u003c/video\u003e\n\u003c/details\u003e\n\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSupported models\u003c/h2\u003e\u003ca id=\"user-content-supported-models\" class=\"anchor\" aria-label=\"Permalink: Supported models\" href=\"#supported-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\"\u003eCurrently, LlamaGPT supports the following models. Support for running custom models is on the roadmap.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eModel name\u003c/th\u003e\n\u003cth\u003eModel size\u003c/th\u003e\n\u003cth\u003eModel download size\u003c/th\u003e\n\u003cth\u003eMemory required\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eNous Hermes Llama 2 7B Chat (GGML q4_0)\u003c/td\u003e\n\u003ctd\u003e7B\u003c/td\u003e\n\u003ctd\u003e3.79GB\u003c/td\u003e\n\u003ctd\u003e6.29GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNous Hermes Llama 2 13B Chat (GGML q4_0)\u003c/td\u003e\n\u003ctd\u003e13B\u003c/td\u003e\n\u003ctd\u003e7.32GB\u003c/td\u003e\n\u003ctd\u003e9.82GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNous Hermes Llama 2 70B Chat (GGML q4_0)\u003c/td\u003e\n\u003ctd\u003e70B\u003c/td\u003e\n\u003ctd\u003e38.87GB\u003c/td\u003e\n\u003ctd\u003e41.37GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCode Llama 7B Chat (GGUF Q4_K_M)\u003c/td\u003e\n\u003ctd\u003e7B\u003c/td\u003e\n\u003ctd\u003e4.24GB\u003c/td\u003e\n\u003ctd\u003e6.74GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCode Llama 13B Chat (GGUF Q4_K_M)\u003c/td\u003e\n\u003ctd\u003e13B\u003c/td\u003e\n\u003ctd\u003e8.06GB\u003c/td\u003e\n\u003ctd\u003e10.56GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePhind Code Llama 34B Chat (GGUF Q4_K_M)\u003c/td\u003e\n\u003ctd\u003e34B\u003c/td\u003e\n\u003ctd\u003e20.22GB\u003c/td\u003e\n\u003ctd\u003e22.72GB\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eHow to install\u003c/h2\u003e\u003ca id=\"user-content-how-to-install\" class=\"anchor\" aria-label=\"Permalink: How to install\" href=\"#how-to-install\"\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\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall LlamaGPT on your umbrelOS home server\u003c/h3\u003e\u003ca id=\"user-content-install-llamagpt-on-your-umbrelos-home-server\" class=\"anchor\" aria-label=\"Permalink: Install LlamaGPT on your umbrelOS home server\" href=\"#install-llamagpt-on-your-umbrelos-home-server\"\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\"\u003eRunning LlamaGPT on an \u003ca href=\"https://umbrel.com\" rel=\"nofollow\"\u003eumbrelOS\u003c/a\u003e home server is one click. Simply install it from the \u003ca href=\"https://apps.umbrel.com/app/llama-gpt\" rel=\"nofollow\"\u003eUmbrel App Store\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://apps.umbrel.com/app/llama-gpt\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/87f4d2ffc0f196d16e8169bb2da36b4a503a78dccf1f967c7871216ce80df1bf/68747470733a2f2f617070732e756d6272656c2e636f6d2f6170702f6c6c616d612d6770742f62616467652d6c696768742e737667\" alt=\"LlamaGPT on Umbrel App Store\" data-canonical-src=\"https://apps.umbrel.com/app/llama-gpt/badge-light.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall LlamaGPT on M1/M2 Mac\u003c/h3\u003e\u003ca id=\"user-content-install-llamagpt-on-m1m2-mac\" class=\"anchor\" aria-label=\"Permalink: Install LlamaGPT on M1/M2 Mac\" href=\"#install-llamagpt-on-m1m2-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\"\u003eMake sure your have Docker and Xcode installed.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen, clone this repo and \u003ccode\u003ecd\u003c/code\u003e into it:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"git clone https://github.com/getumbrel/llama-gpt.git\ncd llama-gpt\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003egit clone https://github.com/getumbrel/llama-gpt.git\ncd llama-gpt\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eRun LlamaGPT with the following command:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"./run-mac.sh --model 7b\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e./run-mac.sh --model 7b\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can access LlamaGPT at \u003ca href=\"http://localhost:3000\" rel=\"nofollow\"\u003ehttp://localhost:3000\u003c/a\u003e.\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eTo run 13B or 70B chat models, replace \u003ccode\u003e7b\u003c/code\u003e with \u003ccode\u003e13b\u003c/code\u003e or \u003ccode\u003e70b\u003c/code\u003e respectively.\nTo run 7B, 13B or 34B Code Llama models, replace \u003ccode\u003e7b\u003c/code\u003e with \u003ccode\u003ecode-7b\u003c/code\u003e, \u003ccode\u003ecode-13b\u003c/code\u003e or \u003ccode\u003ecode-34b\u003c/code\u003e respectively.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003eTo stop LlamaGPT, do \u003ccode\u003eCtrl + C\u003c/code\u003e in Terminal.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall LlamaGPT anywhere else with Docker\u003c/h3\u003e\u003ca id=\"user-content-install-llamagpt-anywhere-else-with-docker\" class=\"anchor\" aria-label=\"Permalink: Install LlamaGPT anywhere else with Docker\" href=\"#install-llamagpt-anywhere-else-with-docker\"\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\"\u003eYou can run LlamaGPT on any x86 or arm64 system. Make sure you have Docker installed.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen, clone this repo and \u003ccode\u003ecd\u003c/code\u003e into it:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"git clone https://github.com/getumbrel/llama-gpt.git\ncd llama-gpt\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003egit clone https://github.com/getumbrel/llama-gpt.git\ncd llama-gpt\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eRun LlamaGPT with the following command:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"./run.sh --model 7b\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e./run.sh --model 7b\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOr if you have an Nvidia GPU, you can run LlamaGPT with CUDA support using the \u003ccode\u003e--with-cuda\u003c/code\u003e flag, like:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"./run.sh --model 7b --with-cuda\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e./run.sh --model 7b --with-cuda\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can access LlamaGPT at \u003ccode\u003ehttp://localhost:3000\u003c/code\u003e.\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eTo run 13B or 70B chat models, replace \u003ccode\u003e7b\u003c/code\u003e with \u003ccode\u003e13b\u003c/code\u003e or \u003ccode\u003e70b\u003c/code\u003e respectively.\nTo run Code Llama 7B, 13B or 34B models, replace \u003ccode\u003e7b\u003c/code\u003e with \u003ccode\u003ecode-7b\u003c/code\u003e, \u003ccode\u003ecode-13b\u003c/code\u003e or \u003ccode\u003ecode-34b\u003c/code\u003e respectively.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003eTo stop LlamaGPT, do \u003ccode\u003eCtrl + C\u003c/code\u003e in Terminal.\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003eNote: On the first run, it may take a while for the model to be downloaded to the \u003ccode\u003e/models\u003c/code\u003e directory. You may also see lots of output like this for a few minutes, which is normal:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"llama-gpt-llama-gpt-ui-1 | [INFO wait] Host [llama-gpt-api-13b:8000] not yet available...\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ellama-gpt-llama-gpt-ui-1 | [INFO wait] Host [llama-gpt-api-13b:8000] not yet available...\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eAfter the model has been automatically downloaded and loaded, and the API server is running, you'll see an output like:\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"llama-gpt-ui_1 | ready - started server on 0.0.0.0:3000, url: http://localhost:3000\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003ellama-gpt-ui_1 | ready - started server on 0.0.0.0:3000, url: http://localhost:3000\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can then access LlamaGPT at \u003ca href=\"http://localhost:3000\" rel=\"nofollow\"\u003ehttp://localhost:3000\u003c/a\u003e.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003chr\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall LlamaGPT with Kubernetes\u003c/h3\u003e\u003ca id=\"user-content-install-llamagpt-with-kubernetes\" class=\"anchor\" aria-label=\"Permalink: Install LlamaGPT with Kubernetes\" href=\"#install-llamagpt-with-kubernetes\"\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\"\u003eFirst, make sure you have a running Kubernetes cluster and \u003ccode\u003ekubectl\u003c/code\u003e is configured to interact with it.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eThen, clone this repo and \u003ccode\u003ecd\u003c/code\u003e into it.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTo deploy to Kubernetes first create a namespace:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"kubectl create ns llama\"\u003e\u003cpre\u003ekubectl create ns llama\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThen apply the manifests under the \u003ccode\u003e/deploy/kubernetes\u003c/code\u003e directory with\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"kubectl apply -k deploy/kubernetes/. -n llama\"\u003e\u003cpre\u003ekubectl apply -k deploy/kubernetes/. -n llama\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eExpose your service however you would normally do that.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eOpenAI compatible API\u003c/h2\u003e\u003ca id=\"user-content-openai-compatible-api\" class=\"anchor\" aria-label=\"Permalink: OpenAI compatible API\" href=\"#openai-compatible-api\"\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\"\u003eThanks to llama-cpp-python, a drop-in replacement for OpenAI API is available at \u003ccode\u003ehttp://localhost:3001\u003c/code\u003e. Open \u003ca href=\"http://localhost:3001/docs\" rel=\"nofollow\"\u003ehttp://localhost:3001/docs\u003c/a\u003e to see the API documentation.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBenchmarks\u003c/h2\u003e\u003ca id=\"user-content-benchmarks\" class=\"anchor\" aria-label=\"Permalink: Benchmarks\" href=\"#benchmarks\"\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've tested LlamaGPT models on the following hardware with the default system prompt, and user prompt: \"How does the universe expand?\" at temperature 0 to guarantee deterministic results. Generation speed is averaged over the first 10 generations.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eFeel free to add your own benchmarks to this table by opening a pull request.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNous Hermes Llama 2 7B Chat (GGML q4_0)\u003c/h4\u003e\u003ca id=\"user-content-nous-hermes-llama-2-7b-chat-ggml-q4_0\" class=\"anchor\" aria-label=\"Permalink: Nous Hermes Llama 2 7B Chat (GGML q4_0)\" href=\"#nous-hermes-llama-2-7b-chat-ggml-q4_0\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e54 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP c2-standard-16 vCPU (64 GB RAM)\u003c/td\u003e\n\u003ctd\u003e16.7 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRyzen 5700G 4.4GHz 4c (16 GB RAM)\u003c/td\u003e\n\u003ctd\u003e11.50 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP c2-standard-4 vCPU (16 GB RAM)\u003c/td\u003e\n\u003ctd\u003e4.3 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUmbrel Home (16GB RAM)\u003c/td\u003e\n\u003ctd\u003e2.7 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 4 (8GB RAM)\u003c/td\u003e\n\u003ctd\u003e0.9 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNous Hermes Llama 2 13B Chat (GGML q4_0)\u003c/h4\u003e\u003ca id=\"user-content-nous-hermes-llama-2-13b-chat-ggml-q4_0\" class=\"anchor\" aria-label=\"Permalink: Nous Hermes Llama 2 13B Chat (GGML q4_0)\" href=\"#nous-hermes-llama-2-13b-chat-ggml-q4_0\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e20 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP c2-standard-16 vCPU (64 GB RAM)\u003c/td\u003e\n\u003ctd\u003e8.6 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP c2-standard-4 vCPU (16 GB RAM)\u003c/td\u003e\n\u003ctd\u003e2.2 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUmbrel Home (16GB RAM)\u003c/td\u003e\n\u003ctd\u003e1.5 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNous Hermes Llama 2 70B Chat (GGML q4_0)\u003c/h4\u003e\u003ca id=\"user-content-nous-hermes-llama-2-70b-chat-ggml-q4_0\" class=\"anchor\" aria-label=\"Permalink: Nous Hermes Llama 2 70B Chat (GGML q4_0)\" href=\"#nous-hermes-llama-2-70b-chat-ggml-q4_0\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e4.8 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP e2-standard-16 vCPU (64 GB RAM)\u003c/td\u003e\n\u003ctd\u003e1.75 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGCP c2-standard-16 vCPU (64 GB RAM)\u003c/td\u003e\n\u003ctd\u003e1.62 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCode Llama 7B Chat (GGUF Q4_K_M)\u003c/h4\u003e\u003ca id=\"user-content-code-llama-7b-chat-gguf-q4_k_m\" class=\"anchor\" aria-label=\"Permalink: Code Llama 7B Chat (GGUF Q4_K_M)\" href=\"#code-llama-7b-chat-gguf-q4_k_m\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e41 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCode Llama 13B Chat (GGUF Q4_K_M)\u003c/h4\u003e\u003ca id=\"user-content-code-llama-13b-chat-gguf-q4_k_m\" class=\"anchor\" aria-label=\"Permalink: Code Llama 13B Chat (GGUF Q4_K_M)\" href=\"#code-llama-13b-chat-gguf-q4_k_m\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e25 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePhind Code Llama 34B Chat (GGUF Q4_K_M)\u003c/h4\u003e\u003ca id=\"user-content-phind-code-llama-34b-chat-gguf-q4_k_m\" class=\"anchor\" aria-label=\"Permalink: Phind Code Llama 34B Chat (GGUF Q4_K_M)\" href=\"#phind-code-llama-34b-chat-gguf-q4_k_m\"\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\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eDevice\u003c/th\u003e\n\u003cth\u003eGeneration speed\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eM1 Max MacBook Pro (64GB RAM)\u003c/td\u003e\n\u003ctd\u003e10.26 tokens/sec\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRoadmap and contributing\u003c/h2\u003e\u003ca id=\"user-content-roadmap-and-contributing\" class=\"anchor\" aria-label=\"Permalink: Roadmap and contributing\" href=\"#roadmap-and-contributing\"\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're looking to add more features to LlamaGPT. You can see the roadmap \u003ca href=\"https://github.com/getumbrel/llama-gpt/issues/8#issuecomment-1681321145\" data-hovercard-type=\"issue\" data-hovercard-url=\"/getumbrel/llama-gpt/issues/8/hovercard\"\u003ehere\u003c/a\u003e. The highest priorities are:\u003c/p\u003e\n\u003cul class=\"contains-task-list\"\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e Moving the model out of the Docker image and into a separate volume.\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e Add Metal support for M1/M2 Macs.\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e Add support for Code Llama models.\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\" checked=\"\"\u003e Add CUDA support for NVIDIA GPUs.\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\"\u003e Add ability to load custom models.\u003c/li\u003e\n\u003cli class=\"task-list-item\"\u003e\u003cinput type=\"checkbox\" id=\"\" disabled=\"\" class=\"task-list-item-checkbox\"\u003e Allow users to switch between models.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eIf you're a developer who'd like to help with any of these, please open an issue to discuss the best way to tackle the challenge. If you're looking to help but not sure where to begin, check out \u003ca href=\"https://github.com/getumbrel/llama-gpt/labels/good%20first%20issue\"\u003ethese issues\u003c/a\u003e that have specifically been marked as being friendly to new contributors.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eAcknowledgements\u003c/h2\u003e\u003ca id=\"user-content-acknowledgements\" class=\"anchor\" aria-label=\"Permalink: Acknowledgements\" href=\"#acknowledgements\"\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 massive thank you to the following developers and teams for making LlamaGPT possible:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/mckaywrigley\"\u003eMckay Wrigley\u003c/a\u003e for building \u003ca href=\"https://github.com/mckaywrigley\"\u003eChatbot UI\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/ggerganov\"\u003eGeorgi Gerganov\u003c/a\u003e for implementing \u003ca href=\"https://github.com/ggerganov/llama.cpp\"\u003ellama.cpp\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/abetlen\"\u003eAndrei\u003c/a\u003e for building the \u003ca href=\"https://github.com/abetlen/llama-cpp-python\"\u003ePython bindings for llama.cpp\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://nousresearch.com\" rel=\"nofollow\"\u003eNousResearch\u003c/a\u003e for \u003ca href=\"https://huggingface.co/NousResearch\" rel=\"nofollow\"\u003efine-tuning the Llama 2 7B and 13B models\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.phind.com/\" rel=\"nofollow\"\u003ePhind\u003c/a\u003e for \u003ca href=\"https://www.phind.com/blog/code-llama-beats-gpt4\" rel=\"nofollow\"\u003efine-tuning the Code Llama 34B model\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://huggingface.co/TheBloke\" rel=\"nofollow\"\u003eTom Jobbins\u003c/a\u003e for \u003ca href=\"https://huggingface.co/TheBloke/Nous-Hermes-Llama-2-7B-GGML\" rel=\"nofollow\"\u003equantizing the Llama 2 models\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://ai.meta.com/llama\" rel=\"nofollow\"\u003eMeta\u003c/a\u003e for releasing Llama 2 and Code Llama under a permissive license.\u003c/li\u003e\n\u003c/ul\u003e\n\u003chr\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/getumbrel/llama-gpt/blob/master/LICENSE.md\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/616ff2e9d876df92b166bdd4417b233718809d2beed3f3383985a7a08f2bf079/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f676574756d6272656c2f6c6c616d612d6770743f636f6c6f723d253233353335314642\" alt=\"License\" data-canonical-src=\"https://img.shields.io/github/license/getumbrel/llama-gpt?color=%235351FB\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://umbrel.com\" rel=\"nofollow\"\u003eumbrel.com\u003c/a\u003e\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"LlamaGPT","anchor":"llamagpt","htmlText":"LlamaGPT"},{"level":2,"text":"Contents","anchor":"contents","htmlText":"Contents"},{"level":2,"text":"Demo","anchor":"demo","htmlText":"Demo"},{"level":2,"text":"Supported models","anchor":"supported-models","htmlText":"Supported models"},{"level":2,"text":"How to install","anchor":"how-to-install","htmlText":"How to install"},{"level":3,"text":"Install LlamaGPT on your umbrelOS home server","anchor":"install-llamagpt-on-your-umbrelos-home-server","htmlText":"Install LlamaGPT on your umbrelOS home server"},{"level":3,"text":"Install LlamaGPT on M1/M2 Mac","anchor":"install-llamagpt-on-m1m2-mac","htmlText":"Install LlamaGPT on M1/M2 Mac"},{"level":3,"text":"Install LlamaGPT anywhere else with Docker","anchor":"install-llamagpt-anywhere-else-with-docker","htmlText":"Install LlamaGPT anywhere else with Docker"},{"level":3,"text":"Install LlamaGPT with Kubernetes","anchor":"install-llamagpt-with-kubernetes","htmlText":"Install LlamaGPT with Kubernetes"},{"level":2,"text":"OpenAI compatible API","anchor":"openai-compatible-api","htmlText":"OpenAI compatible API"},{"level":2,"text":"Benchmarks","anchor":"benchmarks","htmlText":"Benchmarks"},{"level":4,"text":"Nous Hermes Llama 2 7B Chat (GGML q4_0)","anchor":"nous-hermes-llama-2-7b-chat-ggml-q4_0","htmlText":"Nous Hermes Llama 2 7B Chat (GGML q4_0)"},{"level":4,"text":"Nous Hermes Llama 2 13B Chat (GGML q4_0)","anchor":"nous-hermes-llama-2-13b-chat-ggml-q4_0","htmlText":"Nous Hermes Llama 2 13B Chat (GGML q4_0)"},{"level":4,"text":"Nous Hermes Llama 2 70B Chat (GGML q4_0)","anchor":"nous-hermes-llama-2-70b-chat-ggml-q4_0","htmlText":"Nous Hermes Llama 2 70B Chat (GGML q4_0)"},{"level":4,"text":"Code Llama 7B Chat (GGUF Q4_K_M)","anchor":"code-llama-7b-chat-gguf-q4_k_m","htmlText":"Code Llama 7B Chat (GGUF Q4_K_M)"},{"level":4,"text":"Code Llama 13B Chat (GGUF Q4_K_M)","anchor":"code-llama-13b-chat-gguf-q4_k_m","htmlText":"Code Llama 13B Chat (GGUF Q4_K_M)"},{"level":4,"text":"Phind Code Llama 34B Chat (GGUF Q4_K_M)","anchor":"phind-code-llama-34b-chat-gguf-q4_k_m","htmlText":"Phind Code Llama 34B Chat (GGUF Q4_K_M)"},{"level":2,"text":"Roadmap and contributing","anchor":"roadmap-and-contributing","htmlText":"Roadmap and contributing"},{"level":2,"text":"Acknowledgements","anchor":"acknowledgements","htmlText":"Acknowledgements"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fgetumbrel%2Fllama-gpt"}},{"displayName":"LICENSE.md","repoName":"llama-gpt","refName":"master","path":"LICENSE.md","preferredFileType":"license","tabName":"MIT","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fgetumbrel%2Fllama-gpt"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-9f8a877aa99f.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-96e76d5fdb2c.js","githubDevUrl":null,"enabled_features":{"copilot_workspace":null,"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,"accessible_code_button":true}}}}</script> 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data-loading="false" data-size="medium" data-variant="invisible" aria-describedby=":Rr9ab:-loading-announcement" id=":Rr9ab:"><svg aria-hidden="true" focusable="false" class="octicon octicon-list-unordered" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" style="display:inline-block;user-select:none;vertical-align:text-bottom;overflow:visible"><path d="M5.75 2.5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 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 undefined" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><p align="center" dir="auto"> <a href="https://apps.umbrel.com/app/llama-gpt" rel="nofollow"> <img width="150" height="150" src="https://camo.githubusercontent.com/ea93bf91e013ee10877cac5b4a5902df3ffacf13360086e4272756f10bd53607/68747470733a2f2f692e696d6775722e636f6d2f4c4935396375692e706e67" alt="LlamaGPT" data-canonical-src="https://i.imgur.com/LI59cui.png" style="max-width: 100%;"> </a> </p> <p align="center" dir="auto"> </p><div class="markdown-heading" dir="auto"><h1 align="center" tabindex="-1" class="heading-element" dir="auto">LlamaGPT</h1><a id="user-content-llamagpt" class="anchor" aria-label="Permalink: LlamaGPT" href="#llamagpt"><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 align="center" dir="auto"> A self-hosted, offline, ChatGPT-like chatbot, powered by Llama 2. 100% private, with no data leaving your device. <br> <strong>New: Support for Code Llama models and Nvidia GPUs.</strong> <br> <br> <a href="https://umbrel.com" rel="nofollow"><strong>umbrel.com (we're hiring) »</strong></a> <br> <br> <a href="https://twitter.com/umbrel" rel="nofollow"> <img src="https://camo.githubusercontent.com/3850038690b0cb7fe1c06467342d008b1907f041283b38d2861b72a6b1f8d39b/68747470733a2f2f696d672e736869656c64732e696f2f747769747465722f666f6c6c6f772f756d6272656c3f7374796c653d736f6369616c" data-canonical-src="https://img.shields.io/twitter/follow/umbrel?style=social" style="max-width: 100%;"> </a> <a href="https://t.me/getumbrel" rel="nofollow"> <img src="https://camo.githubusercontent.com/8f71267efa79509df382fb0ca16f89bcfe58e58d7c79317e31c4386bffad1071/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f6d6d756e6974792d636861742d253233353335314642" data-canonical-src="https://img.shields.io/badge/community-chat-%235351FB" style="max-width: 100%;"> </a> <a href="https://reddit.com/r/getumbrel" rel="nofollow"> <img src="https://camo.githubusercontent.com/6450d2751d71a4450996bafa278c039d383740f42dc9fc43822537c63c62aba9/68747470733a2f2f696d672e736869656c64732e696f2f7265646469742f7375627265646469742d73756273637269626572732f676574756d6272656c3f7374796c653d736f6369616c" data-canonical-src="https://img.shields.io/reddit/subreddit-subscribers/getumbrel?style=social" style="max-width: 100%;"> </a> <a href="https://community.umbrel.com" rel="nofollow"> <img src="https://camo.githubusercontent.com/922e2364fbf41650e9a822562498b51a093d1c89615e7b39bde8c777983ca8ba/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f636f6d6d756e6974792d666f72756d2d253233353335314642" data-canonical-src="https://img.shields.io/badge/community-forum-%235351FB" style="max-width: 100%;"> </a> </p> <p dir="auto"></p> <p align="center" dir="auto"> <a href="https://umbrel.com/#start" rel="nofollow"> <img src="https://camo.githubusercontent.com/4fb781ee66bff1e44cd72956196d55dd30e83f58342460bcd255909d45e6d50a/68747470733a2f2f692e696d6775722e636f6d2f736a35767145472e6a7067" width="100%" data-canonical-src="https://i.imgur.com/sj5vqEG.jpg" style="max-width: 100%;"> </a> </p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Contents</h2><a id="user-content-contents" class="anchor" aria-label="Permalink: Contents" href="#contents"><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><a href="#demo">Demo</a></li> <li><a href="#supported-models">Supported Models</a></li> <li><a href="#how-to-install">How to install</a> <ul dir="auto"> <li><a href="#install-llamagpt-on-your-umbrelos-home-server">On umbrelOS home server</a></li> <li><a href="#install-llamagpt-on-m1m2-mac">On M1/M2 Mac</a></li> <li><a href="#install-llamagpt-anywhere-else-with-docker">Anywhere else with Docker</a></li> <li><a href="#install-llamagpt-with-kubernetes">Kubernetes</a></li> </ul> </li> <li><a href="#openai-compatible-api">OpenAI-compatible API</a></li> <li><a href="#benchmarks">Benchmarks</a></li> <li><a href="#roadmap-and-contributing">Roadmap and contributing</a></li> <li><a href="#acknowledgements">Acknowledgements</a></li> </ol> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Demo</h2><a id="user-content-demo" class="anchor" aria-label="Permalink: Demo" href="#demo"><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> <details open="" class="details-reset border rounded-2"> <summary class="px-3 py-2"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-device-camera-video"> <path d="M16 3.75v8.5a.75.75 0 0 1-1.136.643L11 10.575v.675A1.75 1.75 0 0 1 9.25 13h-7.5A1.75 1.75 0 0 1 0 11.25v-6.5C0 3.784.784 3 1.75 3h7.5c.966 0 1.75.784 1.75 1.75v.675l3.864-2.318A.75.75 0 0 1 16 3.75Zm-6.5 1a.25.25 0 0 0-.25-.25h-7.5a.25.25 0 0 0-.25.25v6.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-6.5ZM11 8.825l3.5 2.1v-5.85l-3.5 2.1Z"></path> </svg> <span aria-label="Video description LlamaGPT.mp4" class="m-1">LlamaGPT.mp4</span> <span class="dropdown-caret"></span> </summary> <video src="https://private-user-images.githubusercontent.com/10330103/261046099-5d1a76b8-ed03-4a51-90bd-12ebfaf1e6cd.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.LqOCPyF_cC4mWlGDA5iQUBtdXEGJDkGinD-P_kdgk2I" data-canonical-src="https://private-user-images.githubusercontent.com/10330103/261046099-5d1a76b8-ed03-4a51-90bd-12ebfaf1e6cd.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.LqOCPyF_cC4mWlGDA5iQUBtdXEGJDkGinD-P_kdgk2I" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"> </video> </details> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Supported models</h2><a id="user-content-supported-models" class="anchor" aria-label="Permalink: Supported models" href="#supported-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">Currently, LlamaGPT supports the following models. Support for running custom models is on the roadmap.</p> <markdown-accessiblity-table><table> <thead> <tr> <th>Model name</th> <th>Model size</th> <th>Model download size</th> <th>Memory required</th> </tr> </thead> <tbody> <tr> <td>Nous Hermes Llama 2 7B Chat (GGML q4_0)</td> <td>7B</td> <td>3.79GB</td> <td>6.29GB</td> </tr> <tr> <td>Nous Hermes Llama 2 13B Chat (GGML q4_0)</td> <td>13B</td> <td>7.32GB</td> <td>9.82GB</td> </tr> <tr> <td>Nous Hermes Llama 2 70B Chat (GGML q4_0)</td> <td>70B</td> <td>38.87GB</td> <td>41.37GB</td> </tr> <tr> <td>Code Llama 7B Chat (GGUF Q4_K_M)</td> <td>7B</td> <td>4.24GB</td> <td>6.74GB</td> </tr> <tr> <td>Code Llama 13B Chat (GGUF Q4_K_M)</td> <td>13B</td> <td>8.06GB</td> <td>10.56GB</td> </tr> <tr> <td>Phind Code Llama 34B Chat (GGUF Q4_K_M)</td> <td>34B</td> <td>20.22GB</td> <td>22.72GB</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">How to install</h2><a id="user-content-how-to-install" class="anchor" aria-label="Permalink: How to install" href="#how-to-install"><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> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Install LlamaGPT on your umbrelOS home server</h3><a id="user-content-install-llamagpt-on-your-umbrelos-home-server" class="anchor" aria-label="Permalink: Install LlamaGPT on your umbrelOS home server" href="#install-llamagpt-on-your-umbrelos-home-server"><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">Running LlamaGPT on an <a href="https://umbrel.com" rel="nofollow">umbrelOS</a> home server is one click. Simply install it from the <a href="https://apps.umbrel.com/app/llama-gpt" rel="nofollow">Umbrel App Store</a>.</p> <p dir="auto"><a href="https://apps.umbrel.com/app/llama-gpt" rel="nofollow"><img src="https://camo.githubusercontent.com/87f4d2ffc0f196d16e8169bb2da36b4a503a78dccf1f967c7871216ce80df1bf/68747470733a2f2f617070732e756d6272656c2e636f6d2f6170702f6c6c616d612d6770742f62616467652d6c696768742e737667" alt="LlamaGPT on Umbrel App Store" data-canonical-src="https://apps.umbrel.com/app/llama-gpt/badge-light.svg" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Install LlamaGPT on M1/M2 Mac</h3><a id="user-content-install-llamagpt-on-m1m2-mac" class="anchor" aria-label="Permalink: Install LlamaGPT on M1/M2 Mac" href="#install-llamagpt-on-m1m2-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">Make sure your have Docker and Xcode installed.</p> <p dir="auto">Then, clone this repo and <code>cd</code> into it:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="git clone https://github.com/getumbrel/llama-gpt.git cd llama-gpt"><pre class="notranslate"><code>git clone https://github.com/getumbrel/llama-gpt.git cd llama-gpt </code></pre></div> <p dir="auto">Run LlamaGPT with the following command:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="./run-mac.sh --model 7b"><pre class="notranslate"><code>./run-mac.sh --model 7b </code></pre></div> <p dir="auto">You can access LlamaGPT at <a href="http://localhost:3000" rel="nofollow">http://localhost:3000</a>.</p> <blockquote> <p dir="auto">To run 13B or 70B chat models, replace <code>7b</code> with <code>13b</code> or <code>70b</code> respectively. To run 7B, 13B or 34B Code Llama models, replace <code>7b</code> with <code>code-7b</code>, <code>code-13b</code> or <code>code-34b</code> respectively.</p> </blockquote> <p dir="auto">To stop LlamaGPT, do <code>Ctrl + C</code> in Terminal.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Install LlamaGPT anywhere else with Docker</h3><a id="user-content-install-llamagpt-anywhere-else-with-docker" class="anchor" aria-label="Permalink: Install LlamaGPT anywhere else with Docker" href="#install-llamagpt-anywhere-else-with-docker"><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">You can run LlamaGPT on any x86 or arm64 system. Make sure you have Docker installed.</p> <p dir="auto">Then, clone this repo and <code>cd</code> into it:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="git clone https://github.com/getumbrel/llama-gpt.git cd llama-gpt"><pre class="notranslate"><code>git clone https://github.com/getumbrel/llama-gpt.git cd llama-gpt </code></pre></div> <p dir="auto">Run LlamaGPT with the following command:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="./run.sh --model 7b"><pre class="notranslate"><code>./run.sh --model 7b </code></pre></div> <p dir="auto">Or if you have an Nvidia GPU, you can run LlamaGPT with CUDA support using the <code>--with-cuda</code> flag, like:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="./run.sh --model 7b --with-cuda"><pre class="notranslate"><code>./run.sh --model 7b --with-cuda </code></pre></div> <p dir="auto">You can access LlamaGPT at <code>http://localhost:3000</code>.</p> <blockquote> <p dir="auto">To run 13B or 70B chat models, replace <code>7b</code> with <code>13b</code> or <code>70b</code> respectively. To run Code Llama 7B, 13B or 34B models, replace <code>7b</code> with <code>code-7b</code>, <code>code-13b</code> or <code>code-34b</code> respectively.</p> </blockquote> <p dir="auto">To stop LlamaGPT, do <code>Ctrl + C</code> in Terminal.</p> <blockquote> <p dir="auto">Note: On the first run, it may take a while for the model to be downloaded to the <code>/models</code> directory. You may also see lots of output like this for a few minutes, which is normal:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="llama-gpt-llama-gpt-ui-1 | [INFO wait] Host [llama-gpt-api-13b:8000] not yet available..."><pre class="notranslate"><code>llama-gpt-llama-gpt-ui-1 | [INFO wait] Host [llama-gpt-api-13b:8000] not yet available... </code></pre></div> <p dir="auto">After the model has been automatically downloaded and loaded, and the API server is running, you'll see an output like:</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="llama-gpt-ui_1 | ready - started server on 0.0.0.0:3000, url: http://localhost:3000"><pre class="notranslate"><code>llama-gpt-ui_1 | ready - started server on 0.0.0.0:3000, url: http://localhost:3000 </code></pre></div> <p dir="auto">You can then access LlamaGPT at <a href="http://localhost:3000" rel="nofollow">http://localhost:3000</a>.</p> </blockquote> <hr> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Install LlamaGPT with Kubernetes</h3><a id="user-content-install-llamagpt-with-kubernetes" class="anchor" aria-label="Permalink: Install LlamaGPT with Kubernetes" href="#install-llamagpt-with-kubernetes"><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">First, make sure you have a running Kubernetes cluster and <code>kubectl</code> is configured to interact with it.</p> <p dir="auto">Then, clone this repo and <code>cd</code> into it.</p> <p dir="auto">To deploy to Kubernetes first create a namespace:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="kubectl create ns llama"><pre>kubectl create ns llama</pre></div> <p dir="auto">Then apply the manifests under the <code>/deploy/kubernetes</code> directory with</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="kubectl apply -k deploy/kubernetes/. -n llama"><pre>kubectl apply -k deploy/kubernetes/. -n llama</pre></div> <p dir="auto">Expose your service however you would normally do that.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">OpenAI compatible API</h2><a id="user-content-openai-compatible-api" class="anchor" aria-label="Permalink: OpenAI compatible API" href="#openai-compatible-api"><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">Thanks to llama-cpp-python, a drop-in replacement for OpenAI API is available at <code>http://localhost:3001</code>. Open <a href="http://localhost:3001/docs" rel="nofollow">http://localhost:3001/docs</a> to see the API documentation.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Benchmarks</h2><a id="user-content-benchmarks" class="anchor" aria-label="Permalink: Benchmarks" href="#benchmarks"><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've tested LlamaGPT models on the following hardware with the default system prompt, and user prompt: "How does the universe expand?" at temperature 0 to guarantee deterministic results. Generation speed is averaged over the first 10 generations.</p> <p dir="auto">Feel free to add your own benchmarks to this table by opening a pull request.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Nous Hermes Llama 2 7B Chat (GGML q4_0)</h4><a id="user-content-nous-hermes-llama-2-7b-chat-ggml-q4_0" class="anchor" aria-label="Permalink: Nous Hermes Llama 2 7B Chat (GGML q4_0)" href="#nous-hermes-llama-2-7b-chat-ggml-q4_0"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>54 tokens/sec</td> </tr> <tr> <td>GCP c2-standard-16 vCPU (64 GB RAM)</td> <td>16.7 tokens/sec</td> </tr> <tr> <td>Ryzen 5700G 4.4GHz 4c (16 GB RAM)</td> <td>11.50 tokens/sec</td> </tr> <tr> <td>GCP c2-standard-4 vCPU (16 GB RAM)</td> <td>4.3 tokens/sec</td> </tr> <tr> <td>Umbrel Home (16GB RAM)</td> <td>2.7 tokens/sec</td> </tr> <tr> <td>Raspberry Pi 4 (8GB RAM)</td> <td>0.9 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Nous Hermes Llama 2 13B Chat (GGML q4_0)</h4><a id="user-content-nous-hermes-llama-2-13b-chat-ggml-q4_0" class="anchor" aria-label="Permalink: Nous Hermes Llama 2 13B Chat (GGML q4_0)" href="#nous-hermes-llama-2-13b-chat-ggml-q4_0"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>20 tokens/sec</td> </tr> <tr> <td>GCP c2-standard-16 vCPU (64 GB RAM)</td> <td>8.6 tokens/sec</td> </tr> <tr> <td>GCP c2-standard-4 vCPU (16 GB RAM)</td> <td>2.2 tokens/sec</td> </tr> <tr> <td>Umbrel Home (16GB RAM)</td> <td>1.5 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Nous Hermes Llama 2 70B Chat (GGML q4_0)</h4><a id="user-content-nous-hermes-llama-2-70b-chat-ggml-q4_0" class="anchor" aria-label="Permalink: Nous Hermes Llama 2 70B Chat (GGML q4_0)" href="#nous-hermes-llama-2-70b-chat-ggml-q4_0"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>4.8 tokens/sec</td> </tr> <tr> <td>GCP e2-standard-16 vCPU (64 GB RAM)</td> <td>1.75 tokens/sec</td> </tr> <tr> <td>GCP c2-standard-16 vCPU (64 GB RAM)</td> <td>1.62 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Code Llama 7B Chat (GGUF Q4_K_M)</h4><a id="user-content-code-llama-7b-chat-gguf-q4_k_m" class="anchor" aria-label="Permalink: Code Llama 7B Chat (GGUF Q4_K_M)" href="#code-llama-7b-chat-gguf-q4_k_m"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>41 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Code Llama 13B Chat (GGUF Q4_K_M)</h4><a id="user-content-code-llama-13b-chat-gguf-q4_k_m" class="anchor" aria-label="Permalink: Code Llama 13B Chat (GGUF Q4_K_M)" href="#code-llama-13b-chat-gguf-q4_k_m"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>25 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Phind Code Llama 34B Chat (GGUF Q4_K_M)</h4><a id="user-content-phind-code-llama-34b-chat-gguf-q4_k_m" class="anchor" aria-label="Permalink: Phind Code Llama 34B Chat (GGUF Q4_K_M)" href="#phind-code-llama-34b-chat-gguf-q4_k_m"><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> <markdown-accessiblity-table><table> <thead> <tr> <th>Device</th> <th>Generation speed</th> </tr> </thead> <tbody> <tr> <td>M1 Max MacBook Pro (64GB RAM)</td> <td>10.26 tokens/sec</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Roadmap and contributing</h2><a id="user-content-roadmap-and-contributing" class="anchor" aria-label="Permalink: Roadmap and contributing" href="#roadmap-and-contributing"><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're looking to add more features to LlamaGPT. You can see the roadmap <a href="https://github.com/getumbrel/llama-gpt/issues/8#issuecomment-1681321145" data-hovercard-type="issue" data-hovercard-url="/getumbrel/llama-gpt/issues/8/hovercard">here</a>. The highest priorities are:</p> <ul class="contains-task-list"> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> Moving the model out of the Docker image and into a separate volume.</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> Add Metal support for M1/M2 Macs.</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> Add support for Code Llama models.</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox" checked=""> Add CUDA support for NVIDIA GPUs.</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox"> Add ability to load custom models.</li> <li class="task-list-item"><input type="checkbox" id="" disabled="" class="task-list-item-checkbox"> Allow users to switch between models.</li> </ul> <p dir="auto">If you're a developer who'd like to help with any of these, please open an issue to discuss the best way to tackle the challenge. If you're looking to help but not sure where to begin, check out <a href="https://github.com/getumbrel/llama-gpt/labels/good%20first%20issue">these issues</a> that have specifically been marked as being friendly to new contributors.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Acknowledgements</h2><a id="user-content-acknowledgements" class="anchor" aria-label="Permalink: Acknowledgements" href="#acknowledgements"><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 massive thank you to the following developers and teams for making LlamaGPT possible:</p> <ul dir="auto"> <li><a href="https://github.com/mckaywrigley">Mckay Wrigley</a> for building <a href="https://github.com/mckaywrigley">Chatbot UI</a>.</li> <li><a href="https://github.com/ggerganov">Georgi Gerganov</a> for implementing <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a>.</li> <li><a href="https://github.com/abetlen">Andrei</a> for building the <a href="https://github.com/abetlen/llama-cpp-python">Python bindings for llama.cpp</a>.</li> <li><a href="https://nousresearch.com" rel="nofollow">NousResearch</a> for <a href="https://huggingface.co/NousResearch" rel="nofollow">fine-tuning the Llama 2 7B and 13B models</a>.</li> <li><a href="https://www.phind.com/" rel="nofollow">Phind</a> for <a href="https://www.phind.com/blog/code-llama-beats-gpt4" rel="nofollow">fine-tuning the Code Llama 34B model</a>.</li> <li><a href="https://huggingface.co/TheBloke" rel="nofollow">Tom Jobbins</a> for <a href="https://huggingface.co/TheBloke/Nous-Hermes-Llama-2-7B-GGML" rel="nofollow">quantizing the Llama 2 models</a>.</li> <li><a href="https://ai.meta.com/llama" rel="nofollow">Meta</a> for releasing Llama 2 and Code Llama under a permissive license.</li> </ul> <hr> <p dir="auto"><a href="https://github.com/getumbrel/llama-gpt/blob/master/LICENSE.md"><img src="https://camo.githubusercontent.com/616ff2e9d876df92b166bdd4417b233718809d2beed3f3383985a7a08f2bf079/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f676574756d6272656c2f6c6c616d612d6770743f636f6c6f723d253233353335314642" alt="License" data-canonical-src="https://img.shields.io/github/license/getumbrel/llama-gpt?color=%235351FB" style="max-width: 100%;"></a></p> <p dir="auto"><a href="https://umbrel.com" rel="nofollow">umbrel.com</a></p> </article></div></div></div></div></div> <!-- --> <!-- --> <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" value="Dvf8Mk9mt4KczunWKPxr/pZ7zWaGFMIbrfNGFIK0OKxT8J0w3xeaYJByeah90Uqyu8Ewfztf9BL99af4t41ahg==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support! </p> <div class="my-3 d-flex flex-items-center"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link flex-shrink-0 mr-2"> <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> <span class="flex-auto min-width-0 css-truncate css-truncate-target width-fit"> <a title="https://apps.umbrel.com/app/llama-gpt" role="link" target="_blank" rel="noopener noreferrer nofollow" class="text-bold" href="https://apps.umbrel.com/app/llama-gpt">apps.umbrel.com/app/llama-gpt</a> </span> </div> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div class="f6"> <a href="/topics/ai" title="Topic: ai" data-view-component="true" class="topic-tag topic-tag-link"> ai </a> <a href="/topics/self-hosted" title="Topic: self-hosted" data-view-component="true" class="topic-tag topic-tag-link"> self-hosted </a> <a href="/topics/openai" title="Topic: openai" data-view-component="true" class="topic-tag topic-tag-link"> openai </a> <a href="/topics/llama" title="Topic: llama" data-view-component="true" class="topic-tag topic-tag-link"> llama </a> <a href="/topics/gpt" title="Topic: gpt" data-view-component="true" class="topic-tag topic-tag-link"> gpt </a> <a href="/topics/gpt-4" title="Topic: gpt-4" data-view-component="true" class="topic-tag topic-tag-link"> gpt-4 </a> <a href="/topics/llm" title="Topic: llm" data-view-component="true" class="topic-tag topic-tag-link"> llm </a> <a href="/topics/chatgpt" title="Topic: chatgpt" data-view-component="true" class="topic-tag topic-tag-link"> chatgpt </a> <a href="/topics/llamacpp" title="Topic: llamacpp" data-view-component="true" class="topic-tag topic-tag-link"> llamacpp </a> <a href="/topics/llama-cpp" title="Topic: llama-cpp" data-view-component="true" class="topic-tag topic-tag-link"> llama-cpp </a> <a href="/topics/gpt4all" title="Topic: gpt4all" data-view-component="true" class="topic-tag topic-tag-link"> gpt4all </a> <a href="/topics/localai" title="Topic: localai" data-view-component="true" class="topic-tag topic-tag-link"> localai </a> <a href="/topics/llama2" title="Topic: llama2" data-view-component="true" class="topic-tag topic-tag-link"> llama2 </a> <a href="/topics/llama-2" title="Topic: llama-2" data-view-component="true" class="topic-tag topic-tag-link"> llama-2 </a> <a href="/topics/code-llama" title="Topic: code-llama" data-view-component="true" class="topic-tag topic-tag-link"> code-llama </a> <a 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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> <button type="button" class="flash-close js-ajax-error-dismiss" aria-label="Dismiss error"> <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> 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>