mnoukhov / async_rlhfLinks
Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
☆64Updated 6 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:
- A scalable asynchronous reinforcement learning implementation with in-flight weight updates.☆260Updated this week
- Simple and efficient pytorch-native transformer training and inference (batched)☆78Updated last year
- Official implementation of TBA for async LLM post-training.☆20Updated 4 months ago
- NeurIPS 2024 tutorial on LLM Inference☆47Updated 10 months ago
- Language models scale reliably with over-training and on downstream tasks☆100Updated 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
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆178Updated 5 months ago
- ☆152Updated 11 months ago
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆31Updated last year
- ☆108Updated last year
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 11 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 8 months ago
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆35Updated last week
- [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models☆132Updated 2 months ago
- ☆104Updated last year
- ☆73Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Can Language Models Solve Olympiad Programming?☆119Updated 9 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆65Updated 8 months ago
- ☆103Updated last year
- Long Context Extension and Generalization in LLMs☆62Updated last year
- ☆53Updated last year
- ☆122Updated 8 months ago
- Reinforcing General Reasoning without Verifiers☆91Updated 4 months ago
- A toolkit for scaling law research ⚖☆52Updated 9 months ago
- Verlog: A Multi-turn RL framework for LLM agents☆63Updated 2 weeks ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆57Updated last year
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆30Updated 10 months ago
- The evaluation framework for training-free sparse attention in LLMs☆102Updated 2 weeks ago