mnoukhov / async_rlhfLinks
Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
☆62Updated 4 months ago
Alternatives and similar repositories for async_rlhf
Users that are interested in async_rlhf are comparing it to the libraries listed below
Sorting:
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆140Updated this week
- ☆104Updated 11 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆82Updated 10 months ago
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆169Updated 3 months ago
- Language models scale reliably with over-training and on downstream tasks☆99Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- Replicating O1 inference-time scaling laws☆89Updated 9 months ago
- ☆53Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆47Updated 9 months ago
- Long Context Extension and Generalization in LLMs☆60Updated 11 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆34Updated 3 weeks ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆63Updated 6 months ago
- Reinforcing General Reasoning without Verifiers☆81Updated 2 months ago
- ☆150Updated 9 months ago
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆87Updated last month
- ☆122Updated 6 months ago
- ☆49Updated last year
- ☆100Updated last year
- Official implementation of TBA for async LLM post-training.☆19Updated 3 months ago
- [NeurIPS 2024] Low rank memory efficient optimizer without SVD☆31Updated 2 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆99Updated last month
- ☆85Updated last year
- A toolkit for scaling law research ⚖☆51Updated 7 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated 11 months ago
- ☆38Updated 5 months ago
- ☆73Updated 3 weeks ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models☆126Updated last month
- ☆100Updated last year