openai / prm800kLinks
800,000 step-level correctness labels on LLM solutions to MATH problems
☆2,035Updated 2 years ago
Alternatives and similar repositories for prm800k
Users that are interested in prm800k are comparing it to the libraries listed below
Sorting:
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,838Updated 2 weeks ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,775Updated 2 months ago
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,482Updated 2 years ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,746Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,584Updated last year
- ☆760Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆822Updated last year
- The MATH Dataset (NeurIPS 2021)☆1,176Updated last year
- ☆1,535Updated 2 weeks ago
- ☆1,313Updated last year
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,597Updated 2 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆879Updated last month
- Reference implementation for DPO (Direct Preference Optimization)☆2,700Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,579Updated last year
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,084Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,751Updated 6 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆913Updated 6 months ago
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,418Updated last week
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,398Updated last year
- Dromedary: towards helpful, ethical and reliable LLMs.☆1,148Updated 3 months ago
- A modular RL library to fine-tune language models to human preferences☆2,340Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,188Updated last year
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,353Updated 2 years ago
- O1 Replication Journey☆1,998Updated 7 months ago
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,192Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,553Updated 2 months ago
- LOMO: LOw-Memory Optimization☆989Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆724Updated 10 months ago
- A library for advanced large language model reasoning☆2,209Updated 2 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆507Updated last year