openai/gpt-oss

Health v2 · maintenance only

Adoption not part of the score

20347 stars · 2140 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenAI's gpt-oss repository hosts reference implementations and tooling for two open-weight language models, gpt-oss-120b and gpt-oss-20b, released under Apache 2.0. The models are Mixture-of-Experts reasoning models with configurable reasoning effort, full chain-of-thought access, agentic tool use, and MXFP4 quantization enabling single-GPU or local deployment.

Use cases

• run an open-weight LLM locally on a laptop or single GPU
• self-host a reasoning model for agentic tasks with function calling
• fine-tune an open model for a custom domain
• deploy a 120B language model on one 80GB H100
• get full chain-of-thought output for debugging model reasoning
• run a small 20B model within 16GB of memory
• build a chatbot with an Apache-2.0 licensed model

When to choose

• you need an open-weight, commercially usable LLM without copyleft restrictions
• you want configurable reasoning effort and visible chain-of-thought
• you need agentic capabilities like tool calling and code execution in a self-hosted model
• you want to fine-tune a strong reasoning model on your own data

When to avoid

• you need multimodal image or audio input from the model
• you lack a GPU or sufficient memory for even the 20B variant
• you want a plug-and-play API without managing inference infrastructure
• your workflow cannot adopt the required harmony response format

Facets

library · maturity stable

llm-inference machine-learning agent-framework sdk large-language-models artificial-intelligence deep-learning python cross-platform self-hosted open-weight-models moe mxfp4-quantization reasoning-models harmony-format fine-tuning hugging-face local-inference ai-agents gpu

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