Alternatives and similar repositories for prm800k

Users that are interested in prm800k are comparing it to the libraries listed below

• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,785Updated 6 months ago
• openai / grade-school-math
  ☆1,293Updated last year
• hendrycks / test
  Measuring Massive Multitask Language Understanding | ICLR 2021
  ☆1,447Updated 2 years ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆816Updated last year
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,760Updated 3 weeks ago
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,737Updated 11 months ago
• hendrycks / math
  The MATH Dataset (NeurIPS 2021)
  ☆1,148Updated 11 months ago
• ruixiangcui / AGIEval
  ☆752Updated last year
• OpenLMLab / MOSS-RLHF
  Secrets of RLHF in Large Language Models Part I: PPO
  ☆1,378Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆904Updated 4 months ago
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆865Updated 2 weeks ago
• eric-mitchell / direct-preference-optimization
  Reference implementation for DPO (Direct Preference Optimization)
  ☆2,630Updated 11 months ago
• microsoft / ToRA
  ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…
  ☆1,075Updated last year
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,511Updated last year
• google-research / FLAN
  ☆1,529Updated this week
• openai / lm-human-preferences
  Code for the paper Fine-Tuning Language Models from Human Preferences
  ☆1,344Updated last year
• allenai / RL4LMs
  A modular RL library to fine-tune language models to human preferences
  ☆2,325Updated 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
  ☆1,555Updated last year
• GAIR-NLP / O1-Journey
  O1 Replication Journey
  ☆1,992Updated 5 months ago
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,183Updated last year
• MLGroupJLU / LLM-eval-survey
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  ☆1,542Updated last month
• stanford-crfm / helm
  Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …
  ☆2,319Updated last week
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,392Updated last year
• allenai / open-instruct
  AllenAI's post-training codebase
  ☆3,044Updated this week
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆500Updated last year
• allenai / dolma
  Data and tools for generating and inspecting OLMo pre-training data.
  ☆1,258Updated 2 weeks ago
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆711Updated 9 months ago
• openai / automated-interpretability
  ☆1,024Updated last year
• THUDM / AgentTuning
  AgentTuning: Enabling Generalized Agent Abilities for LLMs
  ☆1,451Updated last year