GPT-OSS
HoldLanguages & Frameworks
An open-weight GPT model family used as the base for agentic RL training.
Why it's here
Placed in Hold: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 0 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 5Hugging Face Blog·1/27/2026researchRetrospective on Agentic RL Training for GPT-OSS
Hugging Face published a practical retrospective on unlocking agentic reinforcement learning training for GPT-OSS. The piece focuses on the lessons learned, implementation challenges, and workflow considerations involved in training agentic models with this open-weight model family.