Awesome GPT-OSS [](https://awesome.re)

A curated list of awesome GPT-OSS resources, tools, tutorials, and projects. OpenAI's first fully open-source language model family since GPT-2.

GPT-OSS represents OpenAI's return to open-source AI development with two powerful reasoning models: gpt-oss-120b and gpt-oss-20b. Released under the Apache 2.0 license, these models deliver state-of-the-art performance with configurable reasoning effort, full chain-of-thought access, and native tool use capabilities.

📋 Table of Contents

• 🏢 Official Resources
• 🤖 Models
• 🚀 Inference Engines
• 💻 Local Deployment
• ☁️ Cloud Deployment
• 🛠️ Development Tools
• 🔗 Integrations
• 🎯 Fine-tuning
• 📱 Applications
• 📚 Tutorials
• 🔬 Research
• 🛡️ Safety
• 👥 Community
• 📊 Comparison with Other Models
• 🎉 Contributing
• 📄 License
• ⭐ Star History

🏢 Official Resources

• OpenAI GPT-OSS Announcement - Official release announcement
• GPT-OSS GitHub Repository - Official implementation and reference code
• GPT-OSS Model Card - Comprehensive model documentation
• Open Models Page - OpenAI's dedicated open models page
• OpenAI Harmony - Response format library for GPT-OSS
• Try gpt-oss - gpt-oss playground

🤖 Models

Hugging Face Models

• gpt-oss-120b - 120B parameter model (117B total, 5.1B active)
• gpt-oss-20b - 20B parameter model (21B total, 3.6B active)

Model Specifications

Model	Parameters	Active Parameters	Memory Requirement	Hardware
gpt-oss-120b	117B	5.1B	80GB	Single H100
gpt-oss-20b	21B	3.6B	16GB	Consumer GPU

Key Features

• Apache 2.0 License - Permissive open-source licensing
• MXFP4 Quantization - Native 4-bit quantization for efficient inference
• Mixture of Experts (MoE) - Optimized for performance and efficiency
• Configurable Reasoning - Adjustable effort levels (low, medium, high)
• Full Chain-of-Thought - Complete access to reasoning process
• Tool Use Capabilities - Web browsing, Python execution, function calling

🚀 Inference Engines

vLLM

• vLLM GPT-OSS Support - Official vLLM implementation
• Flash Attention 3 Kernels - Optimized attention kernels for Hopper GPUs
• Installation: pip install --pre vllm==0.10.1+gptoss

Ollama

• Ollama GPT-OSS Models - Easy local deployment
• OpenAI Cookbook - Ollama Guide - Official tutorial
• Quick start: ollama pull gpt-oss:20b && ollama run gpt-oss:20b

llama.cpp

• llama.cpp GPT-OSS Support - CPU and GPU inference
• GGUF Models - Quantized models for llama.cpp

Transformers

• Hugging Face Transformers - Official integration
• Transformers Serve - OpenAI-compatible server

💻 Local Deployment

Consumer Hardware

• plux — The fastest way to connect your files to AI. Think file explorer + “add to AI” button — discover, send, and manage your files with one click.
• LM Studio - User-friendly desktop application
• Jan - Open-source ChatGPT alternative
• Msty - Multi-platform LLM client
• Cherry Studio - Desktop client with Ollama support

Enterprise Hardware

• NVIDIA RTX Optimization - RTX-optimized deployment
• Apple Metal Implementation - Native Metal support for Apple Silicon
• AMD ROCm Support - AMD GPU compatibility

☁️ Cloud Deployment

Major Cloud Providers

• Azure AI Foundry - Microsoft's AI platform
• Hugging Face Inference Providers - Multi-provider access
• AWS SageMaker - Amazon's ML platform
• Northflank - GPU-optimized deployment
• Fireworks AI - High-performance inference
• Cerebras - Ultra-fast inference (2-4k tokens/sec)

Edge Computing

• Microsoft AI Foundry Local - On-device inference for Windows
• Ollama Turbo - Hosted Ollama service for large models

🛠️ Development Tools

Python Libraries

• gpt-oss - Official Python package
• OpenAI Python SDK - Compatible with local endpoints
• LangChain - LLM application framework
• LiteLLM - Unified API across providers

JavaScript/TypeScript

• Responses.js - Response API client library
• Vercel AI SDK - React/Next.js integration
• OpenAI JS SDK - Node.js client

APIs and Protocols

• Chat Completions API - Compatible with OpenAI format
• Responses API - Advanced streaming interface
• OpenAI Harmony Format - New response format

🔗 Integrations

Chat Interfaces

• plux — The fastest way to connect your files to AI. Think file explorer + “add to AI” button — discover, send, and manage your files with one click.
• Open WebUI - Feature-rich web interface
• ChatGPT-Next-Web - Self-hosted ChatGPT UI
• LibreChat - Multi-model chat platform
• LobeChat - Modern chat interface

IDE Extensions

• Continue - Open-source AI code assistant
• AI Toolkit for VSCode - Microsoft's official VSCode extension
• CodeGPT - IntelliJ plugin

Agent Frameworks

• OpenAI Agents SDK - Official agent development framework
• AutoGen - Multi-agent conversation framework
• CrewAI - Role-playing AI agents
• LangGraph - Agent workflow orchestration

🎯 Fine-tuning

Training Frameworks

• TRL (Transformer Reinforcement Learning) - Hugging Face training library
• OpenAI Cookbook - LoRA Fine-tuning - Official LoRA example
• Unsloth - Fast fine-tuning framework
• QLoRA - Quantized fine-tuning

Hardware Requirements

• gpt-oss-120b: Single H100 node for LoRA fine-tuning
• gpt-oss-20b: Consumer hardware compatible
• Techniques: LoRA, QLoRA, Parameter-Efficient Fine-Tuning (PEFT)

📱 Applications

Chatbots and Assistants

• Anything LLM - Private document chatbot
• Perplexica - AI-powered search engine
• Dify - LLM application development platform
• FlowiseAI - Visual LLM app builder

Coding Assistants

• Aider - AI pair programming
• GPT Engineer - Code generation from specs
• Open Interpreter - Local code interpreter
• MetaGPT - Multi-agent software development

Research and Analysis

• Paper QA - Scientific paper analysis
• LlamaIndex - Document indexing and search
• RAG Flow - Retrieval-Augmented Generation
• Chroma - Vector database for AI

📚 Tutorials

Getting Started

• OpenAI Cookbook - GPT-OSS Guide - Official comprehensive guide
• How to Run GPT-OSS Locally - Step-by-step local setup
• GPT-OSS with vLLM - Production deployment guide
• Harmony Response Format - Understanding the new format

Advanced Usage

• Fine-tuning GPT-OSS - Custom model training
• Building AI Agents - Agent development with GPT-OSS
• Tool Use Examples - Browser and Python tools

Third-party Tutorials

• GPT-OSS Setup on AWS - Complete AWS deployment guide
• GPU Optimization Guide - Hardware-specific optimizations
• Docker Deployment - Containerized deployment

🔬 Research

Academic Papers

• GPT-OSS Model Paper - Technical specifications and benchmarks
• Mixture of Experts Research - MoE architecture foundations
• MXFP4 Quantization - 4-bit quantization techniques

Benchmarks and Evaluations

• Reasoning: Near-parity with o4-mini on core benchmarks
• Coding: Strong performance on Codeforces competitions
• Mathematics: Excellent results on AIME 2024 & 2025
• Tool Use: Superior performance on TauBench agentic evaluation
• Health: Outperforms proprietary models on HealthBench

Performance Analysis

• Simon Willison's Analysis - Independent technical review
• Comparative Benchmarks - Performance vs other models
• Enterprise Adoption Study - Market analysis

Educational Implementations

• ProjektJoe GPT-OSS from Scratch - Educational, from-scratch Python implementation of the GPT-OSS architecture.

🛡️ Safety

Security Features

• Preparedness Framework Testing - Adversarial fine-tuning results
• Red Teaming Challenge - $500,000 safety challenge
• Safety Advisory Group Review - External expert evaluation

Safety Tools

• Content Filtering - Content moderation tools
• Chain-of-Thought Monitoring - Reasoning transparency
• Usage Policy - Model usage guidelines

👥 Community

Discussion Forums

• OpenAI Developer Forum - Official community
• Hugging Face Forums - ML community discussions
• Reddit r/LocalLLaMA - Local model enthusiasts
• Discord Servers - Real-time community chat

GitHub Organizations

• OpenAI - Official repositories
• Hugging Face - ML ecosystem
• vLLM Team - Inference optimization
• Ollama - Local deployment tools

News and Updates

• OpenAI Blog - Official announcements
• Hugging Face Blog - Technical deep-dives
• AI Research Twitter - Latest developments
• Papers with Code - Research tracking

📊 Comparison with Other Models

Feature	GPT-OSS-120b	GPT-OSS-20b	Meta Llama 3.3 70b	DeepSeek-R1
License	Apache 2.0	Apache 2.0	Custom License	MIT
Parameters	117B (5.1B active)	21B (3.6B active)	70B	671B (37B active)
Memory	80GB	16GB	140GB	340GB
Reasoning	✅ High	✅ Medium	❌ Limited	✅ Excellent
Tool Use	✅ Native	✅ Native	⚠️ Basic	✅ Advanced
CoT Access	✅ Full	✅ Full	❌ Hidden	✅ Full

🎉 Contributing

Contributions are welcome! Please read the contribution guidelines first.

How to Contribute

1. Fork this repository
2. Create a new branch for your addition
3. Add your resource with a brief description
4. Ensure it follows the existing format
5. Submit a pull request

Criteria for Inclusion

• Must be related to GPT-OSS models
• Should be actively maintained
• Must be publicly available
• Should provide clear value to the community

📄 License

This awesome list is licensed under the CC0 1.0 Universal license.

⭐ Star History

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Made with ❤️ by the community. If you find this list helpful, please ⭐ star it and share with others!

Note: GPT-OSS models require the harmony response format to function correctly. Always use the provided chat templates or the OpenAI harmony library for proper interaction.