GitHub Models

Paid

From playground to production deployment via Azure — GitHub Models shows you how simple it can be.

5.0

New AI ToolsContact

Inputs: text, audio, imageOutputs: text

Type

Saas

Company

GitHub

Visit Website

About GitHub Models

GitHub Models is a new platform that enables developers to access and experiment with industry-leading AI models directly within GitHub. It provides a free interactive playground for testing prompts and model parameters with models such as Llama 3.1, GPT-4o, GPT-4o mini, Phi 3, and Mistral Large 2. Developers can then seamlessly transition from the playground to their development environment via GitHub Codespaces and VS Code, and eventually deploy to production through Azure AI with built-in responsible AI, enterprise-grade security, and global availability. The platform emphasizes privacy by not sharing prompts or outputs with model providers nor using them for model training. It supports multimodal applications (audio, vision, text) and offers sample code for various languages and frameworks to facilitate experimentation.

Key Features

Built-in playground to test different prompts and model parameters for free

Access to popular private and open models including Llama 3.1, GPT-4o, GPT-4o mini, Phi 3, and Mistral Large 2

Seamless integration with GitHub Codespaces and VS Code for coding with models

Production deployment via Azure AI with responsible AI, enterprise security, and global availability

Prompts and outputs are not shared with model providers nor used to train or improve models

Sample code for a variety of languages and frameworks to try out scenarios

Ability to test and compare different models side by side

Support for multimodal applications requiring audio, vision, and text in real time

Pros & Cons

Pros

Free access to model playground for experimentation without any cost
Easy transition from testing to development in Codespaces/VS Code and production on Azure
Privacy assurance: no data sharing with model providers and no training on user prompts/outputs
Wide selection of both open and proprietary models in one platform

Cons

Still in preview, approaching general availability — may have limited model selection initially

Best For

Students, hobbyists, and startups exploring and experimenting with AI modelsBuilding generative AI applications that integrate multiple models (e.g., embeddings for Retrieval Augmented Generation)Educational use, such as Harvard's CS50 course enabling students to experiment with AIRapid prototyping from playground to production deployment via Azure

Alternatives to GitHub Models

AI Shopify Product Reviews

Boost Sales Instantly With Automated Social Proof

Vector Magic

Convert JPG, PNG images to SVG, EPS, AI vectors

Plask AI

Plask.ai uses AI motion capture to animate characters from video, simplifying 3D animation workflows for creators and studios.

PlugSugar

Automate conversations, answer questions with Web Search plugin, and customize ChatGPT experience using powerful AI plugins.

Apploi

Simplify recruitment, improve job seeker visibility, and help employers find the perfect candidates efficiently and affordably.

MedARC

Monitor patient progress, streamline processes and generate insights for healthcare providers to improve patient care.

FAQ

What models are available on GitHub Models?

Currently available models include Llama 3.1, GPT-4o, GPT-4o mini, Phi 3, and Mistral Large 2, with more language, vision, and other models to be added over time.

Is GitHub Models free to use?

Yes, the built-in playground allows you to test different prompts and model parameters for free, right in GitHub.

Can I deploy models to production from GitHub Models?

Yes, once you are ready to go to production, you can deploy via Azure AI, which offers built-in responsible AI, enterprise-grade security, data privacy, and global availability.

Will my prompts and outputs be used to train the models?

No, in alignment with GitHub and Microsoft's commitment to privacy and security, no prompts or outputs in GitHub Models will be shared with model providers, nor used to train or improve the models.