ezelikman / quiet-starLinks
Code for Quiet-STaR
☆734Updated 10 months ago
Alternatives and similar repositories for quiet-star
Users that are interested in quiet-star are comparing it to the libraries listed below
Sorting:
- ☆939Updated 5 months ago
- Official repository for ORPO☆455Updated last year
- ☆1,025Updated 6 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆717Updated 3 months ago
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆732Updated 8 months ago
- ☆520Updated 7 months ago
- [ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"☆760Updated 10 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆859Updated 2 weeks ago
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆653Updated last year
- Large Reasoning Models☆804Updated 6 months ago
- [NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models☆638Updated 3 months ago
- RewardBench: the first evaluation tool for reward models.☆604Updated 2 weeks ago
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,166Updated last year
- [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning☆357Updated 9 months ago
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,386Updated last year
- Recipes to scale inference-time compute of open models☆1,097Updated last month
- Scalable toolkit for efficient model alignment☆814Updated 3 weeks ago
- Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"☆464Updated last year
- ☆331Updated 2 weeks ago
- Generative Representational Instruction Tuning☆654Updated 3 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆703Updated 8 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆899Updated 4 months ago
- A bibliography and survey of the papers surrounding o1☆1,199Updated 7 months ago
- Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)☆206Updated 2 years ago
- An Analytical Evaluation Board of Multi-turn LLM Agents [NeurIPS 2024 Oral]☆326Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆505Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆463Updated last year
- ☆782Updated last month
- Code and implementations for the paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi e…☆491Updated 3 months ago
- Evaluation suite for LLMs☆349Updated 2 months ago