{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Provides reference implementations for running OpenAI's gpt-oss-120b and gpt-oss-20b open-weight models locally, with support for PyTorch, Triton, and Metal inference backends.","skillfed_tags":["llm-inference","reference-implementation","gpu-required"],"use_cases":["Run gpt-oss-20b locally for low-latency reasoning tasks with constrained hardware","Deploy gpt-oss-120b for production general-purpose reasoning on high-end GPUs","Build agentic systems using the models' native function calling and web-browsing capabilities","Fine-tune gpt-oss models to specialized domains via parameter adjustment","Integrate inference into fastapi applications using the reference implementations","Debug model reasoning by accessing full chain-of-thought output"],"what_it_does":"gpt-oss is a Python package providing reference implementations for inference with OpenAI's open-weight models: gpt-oss-120b and gpt-oss-20b. Both models use the harmony response format and support reasoning effort configuration, chain-of-thought output, function calling, and structured outputs. The package includes PyTorch, Triton, and Metal backends for different hardware targets and integrates with inference frameworks for OpenAI-compatible API serving.\n\nThe package depends on openai-harmony for format handling, plus a broad stack of web, async, and serialization libraries (fastapi, aiohttp, pydantic, lxml, requests, structlog, tenacity, uvicorn, docker, jupyter-client, tiktoken, termcolor, chz). It is designed for developers who want to run these models locally or in custom inference pipelines, with particular emphasis on agentic use cases and fine-tuning.","worth_installing":"Yes, with conditions. Install if you need reference code for running gpt-oss models locally and have the required GPU hardware. Verify the license terms before production use. The aging maintenance status and unavailable repository metadata mean you should confirm that the package still works with current versions of dependencies before committing to it for critical workloads."},"id":"gpt-oss","links":{"html":"https://skillfed.io/packages/gpt-oss","md":"https://skillfed.io/packages/gpt-oss.md","pypi":"https://pypi.org/project/gpt-oss/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2026-01-13","license_spdx":null,"license_treatment":"unclear","name":"gpt-oss","python_support":"supports_current","summary":"A collection of reference inference implementations for gpt-oss by OpenAI"},"popularity":{"monthly_downloads":88119,"position":13747,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.9"}