Project Title

gpt-oss — Open-Weight Language Models for Powerful Reasoning and Versatile Use Cases

Overview

gpt-oss is a series of open-weight language models by OpenAI, designed for powerful reasoning, agentic tasks, and versatile developer use cases. The project offers two models, gpt-oss-120b and gpt-oss-20b, tailored for different use cases and hardware requirements. These models are trained using the harmony response format and provide full access to the model's reasoning process, facilitating easier debugging and greater trust in outputs.

Key Features

Permissive Apache 2.0 license for experimentation, customization, and commercial deployment
Configurable reasoning effort based on specific use cases and latency needs
Full chain-of-thought access for easier debugging and trust in outputs
Fine-tunable models for customization to specific use cases
Agentic capabilities for function calling, web browsing, Python code execution, and Structured Outputs
MXFP4 quantization for efficient model deployment on single GPUs

Use Cases

Production and general-purpose high reasoning use cases with gpt-oss-120b
Lower latency, local, or specialized use cases with gpt-oss-20b
Customization and fine-tuning for specific applications and tasks
Leveraging agentic capabilities for advanced functionality

Advantages

Open-source and permissively licensed, allowing for broad use and integration
Configurability to adjust reasoning effort and latency
Full transparency into model reasoning for improved trust and debugging
Agentic capabilities for advanced use cases and integrations
Efficient deployment on single GPUs through MXFP4 quantization

Limitations / Considerations

Models require the harmony response format for correct operation
Specific hardware requirements for optimal performance, particularly for gpt-oss-120b
May require additional fine-tuning for certain specialized use cases

Hugging Face Transformers: A popular library for natural language processing, which can be used with gpt-oss models. It differs in that it is a broader library with support for many models, not just OpenAI's.
GPT-3: Another large language model by OpenAI, which is not open-source. It differs in that it is a proprietary model with a different licensing model and is not as accessible for customization.
EleutherAI's LLaMA: An open-source language model project that aims to provide large models without the restrictions of commercial models. It differs in its focus on community-driven development and a more permissive licensing approach.

Basic Information

GitHub: https://github.com/openai/gpt-oss
Stars: 18,236
License: Unknown
Last Commit: 2025-09-07

📊 Project Information

Project Name: gpt-oss
GitHub URL: https://github.com/openai/gpt-oss
Programming Language: Python
⭐ Stars: 18,236
🍴 Forks: 1,700
📅 Created: 2025-06-23
🔄 Last Updated: 2025-09-07

🏷️ Project Topics

Topics: [, ]

📚 Documentation

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OpenAI's open-weight models
Highlights
Inference examples
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gpt-oss

Project Description