Instructions to use latentMO/cotcontrol-gptoss120b-manytypes1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use latentMO/cotcontrol-gptoss120b-manytypes1b with PEFT:
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- Notebooks
- Google Colab
- Kaggle
manytypes1b: CoT-control GRPO, 12 control types
Research artifact from a MATS sprint on chain-of-thought controllability; a model organism for AI-safety research. Do not deploy.
GRPO on gpt-oss-120b to follow instructions about its own analysis channel across 12 CoT-Control types, with varied instruction wording and placement; any mention of the instruction in the CoT fails the rollout. Continuation of manytypes1 from step 40. On the 540 CoT-Control items, step 150 is +72 points strict over base (lab notebook). Code cot-control/rl/grpo_types.py; run diary runs/2026-10-21_cot-control_manytypes1.md.
Each folder (step100/, step150/) is a rank-32 PEFT LoRA adapter for openai/gpt-oss-120b, exported from a Tinker training state;
tinker_provenance.json in each folder names the source tinker:// path. Training code, configs and evaluations: https://github.com/johntrob14/tricky_little_guys.
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openai/gpt-oss-120b