lucidrains / self-rewarding-lm-pytorchLinks
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
☆1,402Updated last year
Alternatives and similar repositories for self-rewarding-lm-pytorch
Users that are interested in self-rewarding-lm-pytorch are comparing it to the libraries listed below
Sorting:
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,197Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,606Updated last year
- Code for Quiet-STaR☆740Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆885Updated 2 months ago
- Reaching LLaMA2 Performance with 0.1M Dollars☆987Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,589Updated last year
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,088Updated last year
- [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning☆661Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,131Updated last year
- ☆1,034Updated 9 months ago
- Codebase for Merging Language Models (ICML 2024)☆849Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆745Updated 11 months ago
- ☆539Updated 9 months ago
- Training LLMs with QLoRA + FSDP☆1,528Updated 10 months ago
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,603Updated 10 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,851Updated last month
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,512Updated 7 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆628Updated last year
- Data and tools for generating and inspecting OLMo pre-training data.☆1,311Updated last week
- Recipes to scale inference-time compute of open models☆1,110Updated 3 months ago
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆719Updated last year
- Official repository for ORPO☆464Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆921Updated 7 months ago
- Train Models Contrastively in Pytorch☆745Updated 5 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,277Updated 6 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,045Updated 2 years ago
- [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling☆909Updated 4 months ago
- Mamba-Chat: A chat LLM based on the state-space model architecture 🐍☆930Updated last year
- ☆866Updated last year
- DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤☆1,059Updated 7 months ago