Alternatives and similar repositories for awesome-RLHF:

Users that are interested in awesome-RLHF are comparing it to the libraries listed below

• eric-mitchell / direct-preference-optimization
  Reference implementation for DPO (Direct Preference Optimization)
  ☆2,542Updated 8 months ago
• allenai / RL4LMs
  A modular RL library to fine-tune language models to human preferences
  ☆2,304Updated last year
• Timothyxxx / Chain-of-ThoughtsPapers
  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
  ☆2,033Updated last year
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,718Updated 8 months ago
• yizhongw / self-instruct
  Aligning pretrained language models with instruction data generated by themselves.
  ☆4,353Updated 2 years ago
• microsoft / LMOps
  General technology for enabling AI capabilities w/ LLMs and MLLMs
  ☆3,939Updated last week
• huggingface / trl
  Train transformer language models with reinforcement learning.
  ☆13,373Updated this week
• CarperAI / trlx
  A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
  ☆4,627Updated last year
• OpenGVLab / LLaMA-Adapter
  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
  ☆5,863Updated last year
• Alpha-VLLM / LLaMA2-Accessory
  An Open-source Toolkit for LLM Development
  ☆2,774Updated 3 months ago
• google / BIG-bench
  Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
  ☆3,034Updated 9 months ago
• OpenLMLab / MOSS-RLHF
  Secrets of RLHF in Large Language Models Part I: PPO
  ☆1,360Updated last year
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,724Updated 4 months ago
• PKU-Alignment / safe-rlhf
  Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
  ☆1,449Updated 10 months ago
• mlfoundations / open_flamingo
  An open-source framework for training large multimodal models.
  ☆3,898Updated 7 months ago
• atfortes / Awesome-LLM-Reasoning
  Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 🍓
  ☆3,000Updated last month
• huggingface / alignment-handbook
  Robust recipes to align language models with human and AI preferences
  ☆5,145Updated 5 months ago
• zjunlp / LLMAgentPapers
  Must-read Papers on LLM Agents.
  ☆2,325Updated 2 months ago
• openai / prm800k
  800,000 step-level correctness labels on LLM solutions to MATH problems
  ☆1,985Updated last year
• Paitesanshi / LLM-Agent-Survey
  ☆2,778Updated 2 months ago
• openai / lm-human-preferences
  Code for the paper Fine-Tuning Language Models from Human Preferences
  ☆1,324Updated last year
• yaodongC / awesome-instruction-dataset
  A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
  ☆1,114Updated last year
• AetherCortex / Llama-X
  Open Academic Research on Improving LLaMA to SOTA LLM
  ☆1,618Updated last year
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,514Updated last year
• OpenRLHF / OpenRLHF
  An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & LoRA & vLLM & RFT)
  ☆6,457Updated this week
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,728Updated last year
• dvlab-research / LongLoRA
  Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
  ☆2,652Updated 8 months ago
• MLGroupJLU / LLM-eval-survey
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  ☆1,518Updated 3 weeks ago
• zjunlp / EasyEdit
  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
  ☆2,222Updated this week
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,154Updated last year