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Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen2.5, Llama4, InternLM3, GLM4, Mistral, Yi1.5, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3, Llava, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, DeepSeek-VL2, Phi4, GOT-OCR2, ...).
Solve Visual Understanding with Reinforced VLMs
Explore the Multimodal “Aha Moment” on 2B Model
🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
The open source implementation of DeepSeek-R1. 开源复现 DeepSeek-R1
Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
OpenVLThinker: An Early Exploration to Vision-Language Reasoning via Iterative Self-Improvement
🐭 A tiny single-file implementation of Group Relative Policy Optimization (GRPO) as introduced by the DeepSeekMath paper
Aims for memory-efficient training (24GB VRAM) on consumer GPUs. Optimizing language models through guidance tokens in reasoning chains, based on DeepSeekRL-Extended.
Distributed Reinforcement Learning for LLM Fine-Tuning with multi-GPU utilization
A travel agent based on Qwen2.5, fine-tuned by SFT + DPO/PPO/GRPO using traveling question-answer dataset, a mindmap can be output using the response. A RAG system is build upon the tuned qwen2, using Prompt-Template + Tool-Use + Chroma embedding database + LangChain
A reinforcement learning agent that learns to solve mazes using Group Relative Policy Optimization (GRPO).
使用trl、peft、transformers等库,实现对huggingface上模型的微调。
This repository contains blog post for GRPO RL algorithm using simple Grid World environment.