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An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
A Python wrapper that enables large language models (LLMs) to simulate the step-by-step thinking process of OpenAI’s o1 model, providing users with detailed reasoning and comprehensive answers.