Granite | IBM

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</bx-breadcrumb-item> <bx-breadcrumb-item class="no-trailing-slash"> <caem-paragraph size="normal" type-style="body-short-01">Granite</caem-paragraph> </bx-breadcrumb-item> </bx-breadcrumb> <dds-leadspace-heading id="leadspaceSimpleTitle" data-enhancedTitleMarkup="<span class="enhanced-title "><p>IBM Granite<br> </p> </span>" data-useEnhancedTitle="true"> <span class="enhanced-title ">IBM Granite<br /></span> </dds-leadspace-heading> <div class="leadspace__copy "> IBM® Granite™ is our family of open, performant, and trusted AI models, tailored for business and optimized to scale your AI applications. </div> <dds-button-group slot="action"> <dds-button-cta href="https://www.ibm.com/granite/playground" target="_self" kind="primary" aria-label="Explore the playground" cta-type="local" data-aem-autoid="aem--leadspace_cta-0"> <span>Try Granite</span> </dds-button-cta> <dds-button-cta href="https://www.ibm.com/granite/docs/" target="_self" kind="tertiary" aria-label="Read Granite 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data-autoid="dds--table-of-contents" class="cmp-table-of-contents" stickyoffset="48" toc-layout="horizontal" toc-hide="hidden"> <div id="table-of-contents-51286e0694" class="cmp-table-of-contents"> <div class="intro-section"> <div class="bx--col"> <caem-intro-section> <caem-heading slot="heading" type="h2" type-style="expressive-heading-05" data-autoid="caem-heading"> Meet Granite 3.0 </caem-heading> <caem-paragraph size="lead-in" data-autoid="caem--paragraph"> <div class="cms-richtext " id="rich-text-d4ac26ec64" data-dynamic-inner-content="description"> <p>Our third generation of AI language models are here. Fit for purpose and open sourced, these enterprise-ready models deliver exceptional performance against safety benchmarks and across a wide range of enterprise tasks from cybersecurity to RAG.</p> </div> </caem-paragraph> <dds-link-list type="vertical"> <dds-link-list-item-cta aria-label="IBM Granite 3.0: new open, enterprise-ready models" cta-type="local" href="https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models" icon-placement="right" role="listitem" target="_self" data-video-modal-type="media-center"> IBM Granite 3.0: new open, enterprise-ready models </dds-link-list-item-cta> <dds-link-list-item-cta aria-label="Granite 3.0 technical paper" cta-type="external" href="https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf" icon-placement="right" role="listitem" target="_blank" data-video-modal-type="media-center"> Granite 3.0 technical paper </dds-link-list-item-cta> </dds-link-list> </caem-intro-section> </div> </div> <div class="cta-section thick-stat"> <dds-cta-block class=" title-plus-3-items-layout" no-border> <dds-content-block-heading class="expressive-heading-05"> Models </dds-content-block-heading> <dds-cta-block-item-row no-border> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_language--05 pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Granite 3.0 language models </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-61de85a407" data-dynamic-inner-content="description"> <p>Base and instruction-tuned language models designed for agentic workflows, RAG, text summarization, text analytics and extraction, classification, and content generation.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> <dds-text-cta cta-type="local" icon-placement="right" href="https://www.ibm.com/granite/docs/models/granite" target="_self" aria-label="Read Granite 3.0 documentation" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Read Granite 3.0 documentation </dds-text-cta> <dds-text-cta cta-type="external" icon-placement="right" href="https://huggingface.co/ibm-granite/granite-3.0-8b-instruct" target="_blank" aria-label="Get language models on Hugging Face" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Get language models on Hugging Face </dds-text-cta> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_code--syntax pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Granite for code </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-c2cd71f27b" data-dynamic-inner-content="description"> <p>Decoder-only models designed for code generative tasks, including code generation, code explanation, and code editing, trained with code written in 116 programming languages.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> <dds-text-cta cta-type="local" icon-placement="right" href="https://www.ibm.com/granite/docs/models/code" target="_self" aria-label="Read Granite for code documentation" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Read Granite for code documentation </dds-text-cta> <dds-text-cta cta-type="external" icon-placement="right" href="https://huggingface.co/collections/ibm-granite/granite-code-models-6624c5cec322e4c148c8b330" target="_blank" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Get code models on Hugging Face </dds-text-cta> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_chart--area pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Granite for time series </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-29fb6f3b52" data-dynamic-inner-content="description"> <p>Lightweight and pre-trained for time-series forecasting, optimized to run efficiently across a range of hardware configurations.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> <dds-text-cta cta-type="local" icon-placement="right" href="https://www.ibm.com/granite/docs/models/time-series" target="_blank" aria-label="Read Granite time series documentation" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Read Granite time series documentation </dds-text-cta> <dds-text-cta cta-type="external" icon-placement="right" href="https://huggingface.co/collections/ibm-granite/granite-time-series-models-663a90c6a2da73482bce3dc6" target="_blank" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Get time series models on Hugging Face </dds-text-cta> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_continuous--security pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Granite Guardian </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-ebb22dca68" data-dynamic-inner-content="description"> <p>Safeguard AI with Granite Guardian, ensuring enterprise data security and mitigating risks across a variety of user prompts and LLM responses, with top performance in 15+ safety benchmarks.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> <dds-text-cta cta-type="local" icon-placement="right" href="https://www.ibm.com/granite/docs/models/guardian" target="_self" aria-label="Read Granite Guardian documentation" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Read Granite Guardian documentation </dds-text-cta> <dds-text-cta cta-type="external" icon-placement="right" href="https://huggingface.co/ibm-granite/granite-guardian-3.0-8b" target="_blank" aria-label="Try Granite Guardian on Hugging Face" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Get Granite Guardian on Hugging Face </dds-text-cta> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_americas pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Granite for geospatial data </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-672bf18488" data-dynamic-inner-content="description"> <p>NASA and IBM teamed up to create an AI Foundation Model for Earth Observations using large-scale satellite and remote sensing data.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> <dds-text-cta cta-type="external" icon-placement="right" href="https://huggingface.co/ibm-nasa-geospatial" target="_blank" data-dynamic-properties="{"ctaUrl":"href"}" data-dynamic-inner-content="ctaLabel" slot="footer">Get the geospatial model on Hugging Face </dds-text-cta> </dds-cta-block-item> </dds-cta-block-item-row> </dds-cta-block> </div> <div class="item-horizontal-with-media"> <dds-content-item-horizontal-media align="right" data-autoid="dds--content-item-horizontal-media" class="bx--content-item-horizontal-media__full-width"> <dds-image id="image--1048299275" alt="Chart showing granite benchmarks" slot="media" default-src="/content/dam/connectedassets-adobe-cms/worldwide-content/creative-assets/s-migr/ul/g/9d/89/security-benchmarks-granite-landing-page.png" class="" heading="Average scores across benchmarks included in Hugging Face's RAGBench Leaderboard"> </dds-image> <dds-content-item-horizontal-eyebrow> </dds-content-item-horizontal-eyebrow> <dds-content-item-heading role="heading" aria-level="4" data-autoid="dds--content-item__heading" slot="heading"> <span class="enhanced-title "><span class="watsonx-mobile-font"></span>Benchmarks</span> </dds-content-item-heading> <dds-content-item-horizontal-media-copy> <dds-content-item-paragraph> Previous generations of Granite models prioritized specialized use cases. In addition to offering even greater efficacy in those arenas, IBM Granite 3.0 models match—and, in some cases, exceed—the general performance of leading open weight LLMs across both academic and enterprise benchmarks. </dds-content-item-paragraph> </dds-content-item-horizontal-media-copy> <dds-link-list slot="footer" type="vertical"> <dds-link-list-item-cta cta-type="local" href="https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models" icon-placement="right" role="listitem" target="_self" data-video-modal-type="media-center"> Explore more benchmarks </dds-link-list-item-cta> </dds-link-list> </dds-content-item-horizontal-media> </div> <div class="cta-section thick-stat"> <dds-cta-block class=" title-plus-3-items-layout" no-border> <dds-content-block-heading class=""> Why Granite? </dds-content-block-heading> <dds-cta-block-item-row no-border> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_americas pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Open </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-e27bfd7071" data-dynamic-inner-content="description"> <p>Choose the right model, from sub-billion to 34B parameters, open-sourced under Apache 2.0.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_chart--stepper pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Performant </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-1c44f9e8d6" data-dynamic-inner-content="description"> <p>Don’t sacrifice performance for cost. Granite outperforms comparable models<sup>1</sup> across a variety of enterprise tasks.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> </dds-cta-block-item> <dds-cta-block-item class="bx--cta-block-item__pictogram-styling"> <i class="ibm_icon_trust pictogram-color-gradient-180-blue-to-teal bx--pictogram-item__pictogram" slot="media" data-autoid="dds--pictogram-item__pictogram"></i> <dds-content-item-heading> Trusted </dds-content-item-heading> <dds-content-item-copy> <dds-content-item-paragraph> <div class="cms-richtext " id="rich-text-0d134c63c4" data-dynamic-inner-content="description"> <p>Build responsible AI with a comprehensive set of risk and harm detection capabilities, transparency, and IP protection.</p> </div> </dds-content-item-paragraph> </dds-content-item-copy> </dds-cta-block-item> </dds-cta-block-item-row> </dds-cta-block> </div> <div class="intro-section"> <div class="bx--col"> <caem-intro-section> <caem-heading slot="heading" type="h2" type-style="expressive-heading-05" data-autoid="caem-heading"> Build with Granite </caem-heading> <caem-paragraph size="lead-in" type-style="expressive-heading-03" data-autoid="caem--paragraph"> <div class="cms-richtext " id="rich-text-25cce85c3f" data-dynamic-inner-content="description"> <p>Deploy open-source Granite models in production with Red Hat Enterprise Linux AI and watsonx, providing you the support and tooling needed to confidently deploy AI at scale. 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data-autoid="caem--card" href="https://www.ibm.com/think/tutorials/agentic-rag" target="_self" aria-label="Build a LangChain agentic RAG system using Granite-3.0-8B-Instruct in watsonx.ai" pictogram-placement="top" size> <caem-card-heading aria-level="3" data-autoid="caem--card-heading" role="heading" slot="heading"> Build a LangChain agentic RAG system using Granite-3.0-8B-Instruct in watsonx.ai</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#language--translation"></use> </svg> <p>Discover how to build an AI agent that can answer questions</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://www.ibm.com/think/tutorials/agentic-rag" icon-placement="right" parent-href="https://www.ibm.com/think/tutorials/agentic-rag" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="language--translation" viewBox="0 0 32 32"><path d="M26.986,10l0.774-0.001l-2.437-6.133h-0.669L22.216,10h0.775l0.653-1.641h2.691L26.986,10z M23.929,7.639l1.06-2.666l1.059,2.666H23.929z M13,31.36H1c-0.199,0-0.36-0.161-0.36-0.36V19c0-0.199,0.161-0.36,0.36-0.36h12 c0.199,0,0.36,0.161,0.36,0.36v12C13.36,31.199,13.199,31.36,13,31.36z M1.36,30.64h11.28V19.36H1.36V30.64z M25,13.36 c-3.507,0-6.36-2.853-6.36-6.36S21.493,0.64,25,0.64S31.36,3.493,31.36,7S28.507,13.36,25,13.36z M25,1.36 c-3.11,0-5.64,2.53-5.64,5.64s2.529,5.64,5.64,5.64s5.64-2.53,5.64-5.64S28.11,1.36,25,1.36z M13.924,3.919l-0.509,0.509 l2.212,2.212H9c-1.301,0-2.36,1.059-2.36,2.361V17h0.72V9.001C7.36,8.096,8.096,7.36,9,7.36h6.631l-2.216,2.216l0.509,0.509 l3.083-3.083L13.924,3.919z M24.64,15.001v8c0,0.903-0.735,1.638-1.64,1.638h-6.63l2.212-2.212l-0.51-0.51l-3.083,3.084l3.083,3.083 l0.51-0.51l-2.216-2.215H23c1.302,0,2.36-1.059,2.36-2.358v-8C25.36,15.001,24.64,15.001,24.64,15.001z M10,23.36v-0.72H7.36V21.5 H6.64v1.14H4v0.721h3.993c-0.013,0.631-0.156,2.036-1.023,3.064c-0.65-0.619-1.066-1.368-1.202-1.999l-0.704,0.152 c0.152,0.702,0.612,1.599,1.373,2.345c-0.634,0.47-1.445,0.719-2.438,0.719v0.721c1.225,0,2.221-0.34,2.997-0.974 c0.773,0.568,1.763,0.974,3.003,0.974v-0.721c-0.985,0-1.808-0.314-2.469-0.767c1.013-1.212,1.173-2.798,1.184-3.514L10,23.36 L10,23.36z"/></svg> </div> </caem-card> <caem-card color-scheme cta-type="local" data-autoid="caem--card" href="https://ibm.com/think/tutorials/granite-function-calling" target="_self" aria-label="Function calling with IBM Granite 3.0 8B Instruct" pictogram-placement="top" size> <caem-card-heading aria-level="3" data-autoid="caem--card-heading" role="heading" slot="heading"> Function calling with IBM Granite 3.0 8B Instruct</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#code--syntax"></use> </svg> <p>In this tutorial, you will use the IBM® Granite-3.0-8B-Instruct model now available on watsonx.ai™ to perform custom function calling.</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://ibm.com/think/tutorials/granite-function-calling" icon-placement="right" parent-href="https://ibm.com/think/tutorials/granite-function-calling" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="code--syntax" viewBox="0 0 32 32"><path d="M29,3.5C29,3.776,28.776,4,28.5,4S28,3.776,28,3.5S28.224,3,28.5,3S29,3.224,29,3.5z M26.5,3 C26.224,3,26,3.224,26,3.5S26.224,4,26.5,4S27,3.776,27,3.5S26.776,3,26.5,3z M24.5,3C24.224,3,24,3.224,24,3.5S24.224,4,24.5,4 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watsonx</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#graphic-intensive-workloads"></use> </svg> <p>Quantize a pre-trained model in a few different ways to show the size of the models and compare how they perform on a task</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://www.ibm.com/think/tutorials/post-training-quantization" icon-placement="right" parent-href="https://www.ibm.com/think/tutorials/post-training-quantization" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="graphic-intensive-workloads" viewBox="0 0 32 32"><path d="M24,31.36h-2 c-0.199,0-0.36-0.161-0.36-0.36v-0.64H3.36V31c0,0.199-0.161,0.36-0.36,0.36H1c-0.199,0-0.36-0.161-0.36-0.36v-2 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cta-type="local" data-autoid="caem--card" href="https://www.ibm.com/think/tutorials/evaluate-rag-pipeline-using-ragas-in-python-with-watsonx" target="_self" aria-label="Evaluate RAG pipeline using Ragas in Python with watsonx" pictogram-placement="top" size> <caem-card-heading aria-level="3" data-autoid="caem--card-heading" role="heading" slot="heading"> Evaluate RAG pipeline using Ragas in Python with watsonx</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#chart--evaluation"></use> </svg> <p>Use the Ragas framework for Retrieval-Augmented Generation (RAG) evaluation in Python using LangChain</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" 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role="heading" slot="heading"> Using foundation models for time series forecasting</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#time--plot"></use> </svg> <p>Forecast the future based on learning with the TinyTimeMixer (TTM) Granite Model</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://developer.ibm.com/tutorials/awb-foundation-model-time-series-forecasting/" icon-placement="right" parent-href="https://developer.ibm.com/tutorials/awb-foundation-model-time-series-forecasting/" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="time--plot" viewBox="0 0 32 32"><path d="M31,31.36H1c-0.199,0-0.36-0.161-0.36-0.36V1h0.72v14.64H11c0.096,0,0.187,0.038,0.254,0.105 l7.895,7.894H31v0.721H19c-0.096,0-0.188-0.038-0.255-0.105l-7.894-7.895H1.36v14.28H31V31.36z M24,15.36 c-4.059,0-7.36-3.302-7.36-7.36S19.941,0.64,24,0.64S31.36,3.942,31.36,8S28.059,15.36,24,15.36z M17.37,8.36 c0.181,3.376,2.895,6.089,6.27,6.271V13h0.721v1.63c3.375-0.181,6.089-2.895,6.27-6.271H29V7.64h1.63 c-0.181-3.376-2.895-6.089-6.27-6.271V3h-0.72V1.37c-3.375,0.181-6.089,2.895-6.27,6.271H19v0.72h-1.63V8.36z M25.745,10.254l-2-2 C23.678,8.187,23.64,8.096,23.64,8V4h0.721v3.851l1.895,1.895L25.745,10.254z"/></svg> </div> </caem-card> <caem-card color-scheme cta-type="local" data-autoid="caem--card" href="https://developer.ibm.com/tutorials/awb-text-to-sql-using-llms/" target="_self" aria-label="Generating SQL from text with LLMs" pictogram-placement="top" size> <caem-card-heading aria-level="3" data-autoid="caem--card-heading" role="heading" slot="heading"> Generating SQL from text with LLMs</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#text--input"></use> </svg> <p>Convert text into a structured representation and generate a semantically correct SQL query</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://developer.ibm.com/tutorials/awb-text-to-sql-using-llms/" icon-placement="right" parent-href="https://developer.ibm.com/tutorials/awb-text-to-sql-using-llms/" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="text--input" viewBox="0 0 32 32"><path d="M30,29.36H2c-0.199,0-0.36-0.161-0.36-0.36v-4c0-0.199,0.161-0.36,0.36-0.36h28 c0.199,0,0.36,0.161,0.36,0.36v4C30.36,29.199,30.199,29.36,30,29.36z M2.36,28.64h27.28v-3.28H2.36V28.64z M14,23.36H2v-0.72h12 V23.36z M30,19.36H2c-0.199,0-0.36-0.161-0.36-0.36v-4c0-0.199,0.161-0.36,0.36-0.36h28c0.199,0,0.36,0.161,0.36,0.36v4 C30.36,19.199,30.199,19.36,30,19.36z M2.36,18.64h27.28v-3.28H2.36V18.64z M14,13.36H2v-0.72h12V13.36z M30,9.36H2 C1.801,9.36,1.64,9.199,1.64,9V5c0-0.199,0.161-0.36,0.36-0.36h28c0.199,0,0.36,0.161,0.36,0.36v4C30.36,9.199,30.199,9.36,30,9.36z M2.36,8.64h27.28V5.36H2.36V8.64z M14,3.36H2V2.64h12V3.36z"/></svg> </div> </caem-card> <caem-card color-scheme cta-type="local" data-autoid="caem--card" href="https://developer.ibm.com/tutorials/awb-local-ai-copilot-ibm-granite-code-ollama-continue/" target="_self" aria-label="Build a local AI co-pilot using IBM Granite Code, Ollama, and Continue" pictogram-placement="top" size> <caem-card-heading aria-level="3" data-autoid="caem--card-heading" role="heading" slot="heading"> Build a local AI co-pilot using IBM Granite Code, Ollama, and Continue</caem-card-heading> <svg slot="pictogram" class="bx--card__pictogram" style="--colorized-background:url('#g3'); fill: var(--colorized-background)" data-autoid="caem--card__pictogram" focusable="false" height="48" width="48" role="img"> <use href="#app--developer"></use> </svg> <p>Prompt tune a Granite model in Python using a synthetic dataset containing positive and negative customer reviews</p> <caem-card-cta-footer color-scheme target="_self" cta-type="local" data-autoid="caem--card-cta-footer" href="https://developer.ibm.com/tutorials/awb-local-ai-copilot-ibm-granite-code-ollama-continue/" icon-placement="right" parent-href="https://developer.ibm.com/tutorials/awb-local-ai-copilot-ibm-granite-code-ollama-continue/" slot="footer"> </caem-card-cta-footer> <div class="caem-card-svg-source"> <svg xmlns="http://www.w3.org/2000/svg" id="app--developer" viewBox="0 0 32 32"><path d="M3.254,9.254L2.746,8.746L3.991,7.5L2.746,6.254l0.509-0.509L5.009,7.5L3.254,9.254z M3,2 C2.724,2,2.5,2.224,2.5,2.5S2.724,3,3,3s0.5-0.224,0.5-0.5S3.276,2,3,2z 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x1="0%" y1="0%" x2="0%" y2="100%"> <stop offset="0%" stop-color="#FA4D56"></stop> <stop offset="100%" stop-color="#A56EFF"></stop> </linearGradient> </defs> </svg></div> <div class="block-card-container container responsivegrid"> <dds-content-block-cards data-autoid="dds--content-block-cards"> <dds-content-block-heading slot="heading" data-autoid="dds--content-block__heading" role="heading"> Granite in the news </dds-content-block-heading> <dds-card-group cards-per-row="4" class="theme-custom theme-custom--dark-blue-light-gradient" grid-mode="border"> <dds-card-group-item href="https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf" target="_blank" pictogram-placement="top" cta-type="external" data-video-modal-type="media-center" no-poster="true"> <dds-card-eyebrow slot="eyebrow" aria-hidden="true" class="bx--card__eyebrow"> IBM Research </dds-card-eyebrow> <dds-card-heading role="heading" aria-level="3" slot="heading" class="bx--card__heading"> Granite 3.0 technical paper </dds-card-heading> <p>This report presents Granite 3.0 and discloses technical details of pre- and post-training to accelerate the development of open foundation models.</p> <dds-card-cta-footer icon-placement="right" cta-type="external" href="https://github.com/ibm-granite/granite-3.0-language-models/blob/main/paper.pdf" slot="footer" aria-hidden="true" data-video-modal-type="media-center" target="_blank" class="bx--card__footer-icon-size"> </dds-card-cta-footer> </dds-card-group-item> <dds-card-group-item href="https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models" target="_self" pictogram-placement="top" cta-type="local" data-video-modal-type="media-center" no-poster="true"> <dds-card-eyebrow slot="eyebrow" aria-hidden="true" class="bx--card__eyebrow"> IBM blog </dds-card-eyebrow> <dds-card-heading role="heading" aria-level="3" slot="heading" class="bx--card__heading"> IBM Granite 3.0: new open, enterprise-ready models </dds-card-heading> <p>Trained on 12 languages + 116 programming languages, the new Granite 3.0 8B and 2B models are here. Explore new benchmarks on performance, safety and security + the latest tutorials.</p> <dds-card-cta-footer icon-placement="right" cta-type="local" href="https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models" slot="footer" aria-hidden="true" data-video-modal-type="media-center" target="_self" class="bx--card__footer-icon-size"> </dds-card-cta-footer> </dds-card-group-item> <dds-card-group-item href="https://newsroom.ibm.com/blog-ibm-granite-llm-now-available-through-the-generative-ai-hub-in-sap-ai-core" target="_self" pictogram-placement="top" cta-type="local" data-video-modal-type="media-center" no-poster="true"> <dds-card-eyebrow slot="eyebrow" aria-hidden="true" class="bx--card__eyebrow"> Technical blog </dds-card-eyebrow> <dds-card-heading role="heading" aria-level="3" slot="heading" class="bx--card__heading"> IBM Granite Now Available Through the Generative AI Hub in SAP AI Core </dds-card-heading> <p>SAP users can now harness the power of IBM watsonx and IBM Granite, beginning with Granite.13b.chat large language model, available through the generative AI hub on SAP AI core on the SAPBusiness Technology Platform (SAP BTP).</p> <dds-card-cta-footer icon-placement="right" cta-type="local" href="https://newsroom.ibm.com/blog-ibm-granite-llm-now-available-through-the-generative-ai-hub-in-sap-ai-core" slot="footer" aria-hidden="true" data-video-modal-type="media-center" target="_self" class="bx--card__footer-icon-size"> </dds-card-cta-footer> </dds-card-group-item> <dds-card-group-item href="https://research.ibm.com/blog/ibm-granite-transparency-fmti" target="_self" pictogram-placement="top" cta-type="local" data-video-modal-type="media-center" no-poster="true"> <dds-card-eyebrow slot="eyebrow" aria-hidden="true" class="bx--card__eyebrow"> Leaderboard </dds-card-eyebrow> <dds-card-heading role="heading" aria-level="3" slot="heading" class="bx--card__heading"> Ranked top 5 in Stanford Transparency Index </dds-card-heading> <p>A report from Stanford University’s Center for Research on Foundation Models showed that IBM’s model scored a perfect 100% in several categories designed to measure how open models really are. </p> <dds-card-cta-footer icon-placement="right" cta-type="local" href="https://research.ibm.com/blog/ibm-granite-transparency-fmti" slot="footer" aria-hidden="true" data-video-modal-type="media-center" target="_self" class="bx--card__footer-icon-size"> </dds-card-cta-footer> </dds-card-group-item> </dds-card-group> </dds-content-block-cards> </div> <div class="next-steps-container"> <div data-cmp-is="next-steps-container" class="bx--next-steps-container"> <div class="bx--cta-section--g10 bx--cta-section--theme" data-dynamic-content-type="ADOBE_TARGET" data-component-name="next-steps" data-component-identifier="next-steps"> <div class="bx--grid"> <div class="bx--row"> <div class="bx--col-lg-16 full-width-layout"> <dds-cta-block no-border class=" cta-block-section__container"> <div role="heading" data-autoid="dds--content-block__heading" class="bx--content-block__heading" slot="heading"> <a data-title="Next steps" name="Next+steps"></a> <span class="enhanced-title ">Next steps</span> </div> <dds-content-block-copy size="sm"> <dds-content-block-paragraph> </dds-content-block-paragraph> </dds-content-block-copy> <dds-button-group slot="action"> <dds-button-cta href="https://www.ibm.com/granite/playground" target="_self" kind="primary" aria-label="Try Granite" cta-type="local"> <span>Try Granite</span> </dds-button-cta> <dds-button-cta href="https://www.ibm.com/granite/docs/" target="_self" kind="tertiary" aria-label="Read Granite documentation" cta-type="local"> <span>Read Granite documentation</span> </dds-button-cta> </dds-button-group> </dds-cta-block> </div> </div> </div> </div> </div> </div> <div class="accordion-container"> <div class="bx--content-block "> <div class="bx--full-width-intro-container"> </div> <div class="bx--content-item " data-autoid="dds--content-item"> <caem-accordion role="list" size="null"> <caem-accordion-item label="Read the IBM statement on IP protection " role="listitem" size="null" title-text="Read the IBM statement on IP protection "> <span slot="title"> <strong>Read the IBM statement on IP protection </strong> </span> <div class="accordion-item-container nested-container container responsivegrid"> <div class="cms-richtext " id="rich-text-8e52822732" data-dynamic-inner-content="description"> <p>IBM believes in the creation, deployment and utilization of AI models that advance innovation across the enterprise responsibly. IBM watsonx AI and data platform have an end-to-end process for building and testing foundation models and generative AI. For IBM-developed models, we search for and remove duplication, and we employ URL blocklists, filters for objectionable content and document quality, sentence splitting and tokenization techniques, all before model training.</p> <p>During the data training process, we work to prevent misalignments in the model outputs and use supervised fine-tuning to enable better instruction following so that the model can be used to complete enterprise tasks via prompt engineering. We are continuing to develop the Granite models in several directions, including other modalities, industry-specific content and more data annotations for training, while also deploying regular, ongoing data protection safeguards for IBM developed models. </p> <p>Given the rapidly changing generative AI technology landscape, our end-to-end processes are expected to continuously evolve and improve. As a testament to the rigor IBM puts into the development and testing of its foundation models, the company provides its standard contractual intellectual property indemnification for IBM-developed models, similar to those it provides for IBM hardware and software products.</p> <p>Moreover, contrary to some other providers of large language models and consistent with the IBM standard approach on indemnification, IBM does not require its customers to indemnify IBM for a customer's use of IBM-developed models. Also, consistent with the IBM approach to its indemnification obligation, IBM does not cap its indemnification liability for the IBM-developed models.</p> <p>The current watsonx models now under these protections include:</p> <p>(1) Slate family of encoder-only models.</p> <p>(2) Granite family of a decoder-only model.</p> <p><a href="https://www.ibm.com/support/customer/csol/terms/?id=i126-6883&lc=en#detail-document">Learn more about licensing for Granite models</a></p> </div> </div> </caem-accordion-item> <caem-accordion-item label="Footnotes" role="listitem" size="null" title-text="Footnotes"> <span slot="title"> <strong>Footnotes</strong> </span> <div class="accordion-item-container nested-container container responsivegrid"> <div class="cms-richtext " id="rich-text-fde8c17455" data-dynamic-inner-content="description"> <p><sup>1</sup>Performance of Granite models conducted by IBM Research against leading open models across both academic and enterprise benchmarks - <a href="https://ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models">https://ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models</a></p> </div> </div> </caem-accordion-item> </caem-accordion> </div> </div></div> </div> </dds-table-of-contents> </div> <div class="footer"> <dds-footer-container data-cmp-is="footer" data-autoid="dds--footer" class="cmp-footer" data-children-count="0" size="tall"></dds-footer-container> </div> </div> </div> </dds-video-cta-container> <div class="video-modal-overlay" aria-hidden="true"> <div class="video-modal-overlay__dialog"> <div class="video-modal-overlay__dialog--body"> <div class="video-modal-overlay__dialog--body__close-btn"> <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> <rect width="24" height="24" fill="white" fill-opacity="0.01" style="mix-blend-mode:multiply"/> <path id="Vector" d="M13.0606 12L19.5 5.56058L18.4394 4.5L12 10.9394L5.56072 4.5L4.5 5.56058L10.9394 12L4.5 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