SakanaAI / robust-kbenchLinks
☆50Updated last month
Alternatives and similar repositories for robust-kbench
Users that are interested in robust-kbench are comparing it to the libraries listed below
Sorting:
- The evaluation framework for training-free sparse attention in LLMs☆102Updated 3 weeks ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆130Updated 11 months ago
- Supporting code for the blog post on modular manifolds.☆100Updated last month
- Kinetics: Rethinking Test-Time Scaling Laws☆81Updated 3 months ago
- Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.☆116Updated 2 weeks ago
- 📄Small Batch Size Training for Language Models☆63Updated last month
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆92Updated 3 months ago
- ☆95Updated 8 months ago
- This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"☆239Updated last week
- Fast and memory-efficient exact attention☆72Updated 8 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆124Updated 4 months ago
- ☆130Updated 5 months ago
- ☆252Updated 5 months ago
- An extention to the GaLore paper, to perform Natural Gradient Descent in low rank subspace☆18Updated last year
- Multi-Turn RL Training System with AgentTrainer for Language Model Game Reinforcement Learning☆48Updated last week
- ☆46Updated last year
- Official implementation for Training LLMs with MXFP4☆101Updated 6 months ago
- Code for studying the super weight in LLM☆119Updated 11 months ago
- Defeating the Training-Inference Mismatch via FP16☆56Updated last week
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …☆60Updated last year
- ☆83Updated last year
- 🔥 LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL. Multi-turn compilation…☆94Updated 3 weeks ago
- Work in progress.☆74Updated 4 months ago
- CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning☆203Updated this week
- Learn online intrinsic rewards from LLM feedback☆44Updated 10 months ago
- nanoGPT-like codebase for LLM training☆110Updated this week
- ☆38Updated last year
- ☆28Updated last month
- [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models☆132Updated 2 months ago