A free, open-source framework for fine-tuning and post-training large language models, configured through YAML files.
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#rlhf
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A free, open-source framework for fine-tuning and post-training large language models, configured through YAML files.
verl is an open-source reinforcement learning training library for post-training large language models, built on the HybridFlow paper.
Unified framework for efficiently fine-tuning 100+ LLMs and VLMs with a zero-code CLI and Web UI.
A bilingual collection of 100+ original diagrams explaining LLM, RL, RLHF, DPO, GRPO and related large-model algorithms.
A from-scratch PyTorch walkthrough and codebase for training a transformer LLM, covering pretraining, SFT, reward modeling, DPO/PPO/GRPO and generation.