HuatuoGPT-o1
modelThe first open "medical o1" — complex reasoning for medicine via a two-stage recipe: construct verifiable medical problems from exam questions, learn complex reasoning trajectories through a medical verifier, then RL against verifier rewards. With only 40K verifiable problems it outperformed general and prior medical baselines, and the verifiable-medical-problems + verifier-RL recipe became the heavily cited template for domain reasoning models.
From Benyou Wang's FreedomIntelligence group (CUHK-Shenzhen). Models are RL-tuned open bases (Llama-3.1 8B/70B and Qwen2.5 7B/72B), not from-scratch pretrains. The line continues in HuatuoGPT-3.
Model Details
Base model llama-3.1
Variants
| Name | Parameters | Notes |
|---|---|---|
| HuatuoGPT-o1-8B | — | RL-tuned from Llama-3.1-8B |
| HuatuoGPT-o1-70B | — | RL-tuned from Llama-3.1-70B |
| HuatuoGPT-o1-7B | — | RL-tuned from Qwen2.5-7B |
| HuatuoGPT-o1-72B | — | RL-tuned from Qwen2.5-72B |