Rlhf GitHub Repositories (2026) · Open Source Tools

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

Train Large Language Models on MLX.

A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

RewardBench: the first evaluation tool for reward models.

A native Mac App for LLM fine-tuning on Apple Silicon — fully on-device, fully open source.

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

Multimodal RL training framework for diffusion & omni models

Human-feedback and data-governance infrastructure for RSI research: annotation, review, provenance and frozen dataset candidates.