Tags: #rlhf

An easy-to-use, scalable, and high-performance open-source framework for Reinforcement Learning from Human Feedback (RLHF), leveraging Ray and vLLM for distributed training of LLMs and VLMs.

An efficient framework for fine-tuning ChatGLM-6B and ChatGLM2-6B models using PEFT methods, including LoRA, QLoRA, and RLHF, with a Web UI.

A comprehensive open-source textbook and code repository dedicated to Reinforcement Learning from Human Feedback (RLHF) and post-training language models.

Provides robust training recipes and scripts to align large language models with human and AI preferences, enhancing helpfulness and safety.

A continually updated, curated list of essential resources for Reinforcement Learning with Human Feedback (RLHF), encompassing research papers, codebases, and datasets.

A modular framework for aligning any-modality large models with human intentions and values using various fine-tuning and reinforcement learning methods.

A modular open-source framework for training constrained value-aligned Large Language Models (LLMs) using Safe Reinforcement Learning from Human Feedback (RLHF).

A human preference reward model for evaluating and improving text-to-image generation models.

A comprehensive collection of recipes and code for training various reward models crucial for Reinforcement Learning from Human Feedback (RLHF) in large language models.

An open-source framework providing code, models, and insights for stable Reinforcement Learning from Human Feedback (RLHF) training in Large Language Models, focusing on the PPO algorithm and reward modeling.