Official repository for DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Post-training with Tinker

Democratizing Reinforcement Learning for LLMs

Scaling RL on advanced reasoning models

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

s1: Simple test-time scaling

A scalable asynchronous reinforcement learning implementation with in-flight weight updates.

Environments for LLM Reinforcement Learning

[COLM 2025] Official code for "When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning"

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Scalable RL solution for advanced reasoning of language models

Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen3, Qwen3-MoE, Llama4, GLM4.5, InternLM3, DeepSeek-R1, ...) and 200+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, Llava, GLM4v, Ph…

Material for gpu-mode lectures

verl: Volcano Engine Reinforcement Learning for LLMs

Team Neko (the preliminary)

一週間でなれる！スパコンプログラマ

Fully open reproduction of DeepSeek-R1

Data Cleaning using LLMs

Train transformer language models with reinforcement learning.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

A very fast and expressive template engine.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

Reproducible, flexible LLM evaluations

Pretraining Efficiently on S2ORC!

Official Repo for Open-Reasoner-Zero