High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
7.0
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0
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AI & LLM
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Excellent skill for high-performance RLHF training with comprehensive workflows covering PPO, GRPO, DPO, and full pipeline orchestration. The description clearly conveys the Ray+vLLM acceleration advantages and model size capabilities. Task knowledge is strong with complete installation, training commands, and troubleshooting for common GPU/distributed issues. Structure is well-organized with workflows, issue resolution, and deferred advanced topics to reference files. Novelty is significant: orchestrating distributed RLHF training across multi-node GPU clusters with vLLM acceleration and Hybrid Engine configuration is complex and would consume many tokens for a CLI agent to configure correctly. Minor improvement opportunities: could elaborate slightly more on when to choose each algorithm variant in the main document, and the hardware requirements section could specify minimum configurations more precisely. Overall, this is a high-value skill that meaningfully reduces complexity and cost for a challenging distributed AI training task.
zechenzhangAGI
Skill Author
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