Topics / #grpo

Grpo projects on GitHub

Group Relative Policy Optimization, a reinforcement learning method for tuning large language models.

As of , the most-starred Grpo projects on GitHub are unsloth (78.2K stars), minimind (63.9K stars) and happy-llm (34.4K stars). GitHub.Locker tracks 16 Grpo repositories with 304.7K stars combined. The fastest-growing on October 17 was unsloth, with +67 stars in a day.

16Projects
304.7KStars in total
+239Stars in a day

Hot right now

Most stars gained in a day · Oct 17

The all-time top

16 projects · by stars

  1. #1 · unslothai/unsloth

    unsloth

    Unsloth is a local-first app for running and training LLMs, diffusion, TTS and embedding models on your own machine, including models like Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4 and FLUX.

    78.2K
  2. #2 · jingyaogong/minimind

    minimind

    MiniMind is an open-source project that lets you train a tiny large language model (around 64M parameters) completely from scratch, in about 2 hours on a single RTX 3090 for roughly the cost of 3 RMB in GPU rental.

    63.9K
  3. #3 · datawhalechina/happy-llm

    happy-llm

    Happy-LLM is Datawhale's free open-source LLM course: a systematic tutorial that goes from NLP basics and the Transformer architecture to building and training your first large language model, then applying it with RAG and agents.

    34.4K
  1. 4

    verl

    23.9Kverl-project/verl · Python

    verl is a flexible, efficient and production-ready reinforcement learning training library for LLMs, initiated by ByteDance's Seed team and maintained by the community. It is the open-source version of the HybridFlow paper (EuroSys 2025).

  2. 5

    trl

    19.5Khuggingface/trl · Python

    TRL (Transformers Reinforcement Learning) is a Hugging Face library for post-training foundation models — fine-tuning them with techniques like SFT, GRPO and DPO on top of the Transformers stack.

  3. 6

    ms-swift

    15.9Kmodelscope/ms-swift · Python

    ms-swift is the ModelScope community's fine-tuning and deployment framework for LLMs and multimodal models, covering training, inference, evaluation, quantization and deployment in one pipeline.

  4. 7

    AI-Research-SKILLs

    13.6KOrchestra-Research/AI-Research-SKILLs · TeX

    It's an open-source library of 98 AI research and engineering skills that turn a Claude Code, Codex, or Gemini CLI agent into a full AI research agent, covering everything from idea generation to paper writing.

  5. 8

    train-llm-from-scratch

    12.2KFareedKhan-dev/train-llm-from-scratch · Python

    A from-scratch tutorial and codebase for training your own LLM end to end: tokenizing raw text, pretraining a GPT-style Transformer, and then post-training it with SFT, a reward model, DPO/ORPO/KTO, PPO and GRPO into an aligned, reasoning-style assistant.

  6. 9

    AgentGuide

    11Kadongwanai/AgentGuide · MDX

    AgentGuide is a free, open-source Chinese-language knowledge base for AI Agent engineering and job hunting, modeled on JavaGuide. It stitches scattered courses, tutorials, papers and projects into one systematic path from beginner to a job offer.

  7. 10

    ART

    10.8KOpenPipe/ART · Python

    ART (Agent Reinforcement Trainer) is an open-source RL framework from OpenPipe that lets LLM agents learn from experience: you train multi-step agents for real-world tasks with GRPO.

  8. 11

    LongCat-Video

    9.2Kmeituan-longcat/LongCat-Video · Python

    LongCat-Video is a 13.6B-parameter foundational video generation model that unifies Text-to-Video, Image-to-Video, and Video-Continuation generation in a single architecture, aimed at efficient long-video generation and framed as a first step toward world models.

  9. 12

    OpenClaw-RL

    5.7KGen-Verse/OpenClaw-RL · Python

    OpenClaw-RL is a fully asynchronous reinforcement learning framework that turns everyday conversations with an agent into training signals, letting you train a personalized OpenClaw agent just by talking to it, or train general agents for terminal, GUI, SWE, and tool-call tasks.

  10. 13

    hands-on-modern-rl

    4.7Kwalkinglabs/hands-on-modern-rl · Python

    Hands-On Modern RL is an open-source course and book that walks learners from basic reinforcement learning concepts through LLM alignment (RLHF, DPO, GRPO, RLVR) and into advanced agentic systems, combining theory with runnable code.

  11. 14

    halo

    825whitecircle/halo · Python

    Halo is an open-source framework from White Circle for training large language and multimodal models: pre-training, SFT, preference optimization, and fully asynchronous multi-turn RL in one codebase, from a single GPU up to multi-node clusters.

  12. 15

    Qwen3.8-Flash-Next

    433QwenLM/Qwen3.8-Flash-Next

    Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts foundation model from Alibaba's Qwen Team, also serving as an early preview of the architecture Alibaba plans to use for the upcoming Qwen4 model family.

  13. 16

    Meshy

    407OpenBMB/Meshy · Python

    Meshy is an open-source framework for running reinforcement learning (RL) training jobs where every role (inference, training, rollout) runs as an independent service, communicating through a shared TransferQueue data plane. It is built on SGLang and torchtitan.

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