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Github Models Built Into Your Repository Is In Public Preview

Leo Migdal
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github models built into your repository is in public preview

We’re making it easier than ever to take your AI project from idea to shipped, all within GitHub. With the new GitHub Models repository integration, you get the building blocks you need to build with AI (e.g., models, prompts, and evaluations) all in your existing workflow. GitHub Models is available now for all GitHub users in public preview. Try it now by enabling it in your repository or organization, or learn more by visiting our documentation. We’re just getting started, and your feedback can help shape what comes next. Join the community discussion to share your ideas and connect with other developers building the future of AI on GitHub.

Disclaimer: The UI for features in public preview is subject to change. You can enable or disable GitHub Models in your repository. GitHub Models for organizations and repositories is in public preview and subject to change. GitHub Models automates, enhances, and streamlines AI-powered software development processes within GitHub. You can use GitHub Models to manage and optimize prompts, compare models, and create robust evaluations. See About GitHub Models.

If your repository is organization-owned, an organization owner must first enable GitHub Models in your organization. If your organization owner has restricted access to certain models, you will only see a subset of the total available models. Samsung says it has cleared Production Readiness Approval for its first sixth-generation hbm (hbm4) and has shipped samples to NVIDIA for evaluation. Initial samples have exceeded NVIDIA’s next-gen GPU requirement of 11 Gbps per pin and hbm4 promises roughly 60% higher bandwidth than hbm3e. Marvell Technology, Inc. has entered into a definitive agreement to acquire Celestial Artificial Intelligence, a developer of a Photonic Fabric platform aimed at scale-up optical interconnect for next-generation data centers.

NVIDIA and AWS expanded integration around Artificial Intelligence infrastructure at AWS re:Invent, announcing support for NVIDIA NVLink Fusion with Trainium4, Graviton and the Nitro System. the move aims to unify NVIDIA scale-up interconnect and MGX rack architecture with AWS custom silicon to speed cloud-scale Artificial Intelligence deployments. Mistral Artificial Intelligence and NVIDIA have released the mistral 3 family of open-source multilingual, multimodal models optimized for NVIDIA supercomputing and edge platforms. The lineup includes Mistral Large 3, a mixture-of-experts model with 41B active parameters, 675B total parameters and a 256K context window. the download highlights a new MIT Technology Review and Financial Times feature on the uneven economic effects of Artificial Intelligence and a roundup of major technology items, including DeepSeek’s latest model claims and an... GitHub Models is now in public preview!

Access top AI models via a playground, API, and more. Explore new features to boost your development workflow. First time registrants, please allow 15 minutes to gain access. You will also receive a confirmation email. GitHub Models is a workspace built into GitHub for working with large language models (LLMs). It supports prompt design, model comparison, evaluation, and integration—directly within your repository.

GitHub Models is currently in public preview for organizations and repositories. GitHub Models enables teams to build and evaluate AI-powered features without leaving their development workflow. It allows for: To start, visit the GitHub Models Marketplace. Use the Select a Model dropdown to: The Playground allows for prompt development and testing.

GitHub Models is a suite of developer tools that take you from AI idea to ship, including a model catalog, prompt management, and quantitative evaluations. GitHub Models for organizations and repositories is in public preview and subject to change. GitHub Models is a workspace lowering the barrier to enterprise-grade AI adoption. It helps you move beyond isolated experimentation by embedding AI development directly into familiar GitHub workflows. GitHub Models provides tools to test large language models (LLMs), refine prompts, evaluate outputs, and make informed decisions based on structured metrics. To get started, see Optimizing your AI-powered app with Models.

GitHub Models offers a set of features to support prompt iteration, evaluation, and integration for AI development. There are a few ways you can start using GitHub Models, depending on your role and needs. As software engineers, we’re constantly juggling code reviews, PR descriptions and feedback. Recently I’ve been testing GitHub Models (public preview) — a new feature that lets you prototype, evaluate and use LLMs directly inside your GitHub repositories. One experiment: automatically summarising every Pull Request using a prompt stored as code (.prompt.yml) and a GitHub Action. The Action calls the chosen model (GPT-4o, Claude, Mistral, etc.) and posts a concise summary right back into the PR as a comment.

• Prompts & parameters are version-controlled alongside code • Side-by-side model comparisons to balance cost vs. quality • Easy to prototype in the Playground, then integrate in CI/CD You can now iterate on your prompt in any user repositories without breaking your flow. With just one click, jump from a prompt in your GitHub-hosted code to the GitHub Models prompt editor:

This feature detects files with “prompt” in the content and uses 10 lines above and below the selected line as context. Once in the prompt editor, you can experiment with models, fine-tune your prompts, and customize parameters. GitHub Models is a catalog and prompt editor of AI models to help you build AI features and products. You can start using models for free with just your GitHub PAT. This is the first of more features to come that will help with seamless integration between your existing workflow and the GitHub Models prompt editor! Learn more about GitHub Models or join the discussion in our community forums.

There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. If you’ve ever dreamed of leveraging cutting-edge AI models right from your GitHub workspace, your moment has arrived! GitHub Models has officially entered public preview!

Dive into top AI models with a playground, API, and more—all designed to enhance your development experience. Since the announcement of GitHub Models almost three months ago, we've shipped a number of enhancements and new models. See the details here. You know what! There’s no more waitlist, so try GitHub Models out right away. An improved and more intuitive flow for creating repositories is now available in public preview and you can enable it through feature preview!

The updated design makes it easier to create new repositories with a consistent modern experience. The most significant change affects organizations and enterprises using custom repository properties and repository policies. Now, custom property inputs can respond to your organization’s policies, letting you set or limit repository names and visibility right at creation. This helps maintain compliance from the start. You can preview the new experience by enabling it in the feature preview menu. We want to hear from you!

To provide feedback, ask questions, visit the feedback discussion.

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