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.
  ☆1,870Updated last month
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,784Updated 3 months ago
• hendrycks / math
  The MATH Dataset (NeurIPS 2021)
  ☆1,206Updated 3 weeks ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆827Updated last year
• hendrycks / test
  Measuring Massive Multitask Language Understanding | ICLR 2021
  ☆1,503Updated 2 years ago
• openai / grade-school-math
  ☆1,333Updated last year
• ruixiangcui / AGIEval
  ☆764Updated last year
• FranxYao / chain-of-thought-hub
  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
  ☆2,746Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆888Updated this week
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,613Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆923Updated 7 months ago
• microsoft / ToRA
  ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…
  ☆1,094Updated last year
• google-research / FLAN
  ☆1,542Updated last month
• openai / lm-human-preferences
  Code for the paper Fine-Tuning Language Models from Human Preferences
  ☆1,365Updated 2 years ago
• eric-mitchell / direct-preference-optimization
  Reference implementation for DPO (Direct Preference Optimization)
  ☆2,745Updated last year
• uclaml / SPIN
  The official implementation of Self-Play Fine-Tuning (SPIN)
  ☆1,202Updated last year
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆770Updated 2 years ago
• allenai / RL4LMs
  A modular RL library to fine-tune language models to human preferences
  ☆2,355Updated last year
• GanjinZero / RRHF
  [NIPS2023] RRHF & Wombat
  ☆812Updated 2 years ago
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,605Updated last year
• OpenLMLab / MOSS-RLHF
  Secrets of RLHF in Large Language Models Part I: PPO
  ☆1,399Updated last year
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,401Updated last year
• THUDM / AgentBench
  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
  ☆2,815Updated 8 months ago
• huggingface / Math-Verify
  ☆948Updated 3 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"
  ☆1,204Updated last year
• EleutherAI / pythia
  The hub for EleutherAI's work on interpretability and learning dynamics
  ☆2,625Updated 3 months ago
• madaan / self-refine
  LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
  ☆742Updated last year
• bigcode-project / bigcode-evaluation-harness
  A framework for the evaluation of autoregressive code generation language models.
  ☆981Updated 2 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆547Updated last year
• IBM / Dromedary
  Dromedary: towards helpful, ethical and reliable LLMs.
  ☆1,146Updated 2 weeks ago