Muon is an optimizer for hidden layers in neural networks
☆2,329Jan 19, 2026Updated last month
Alternatives and similar repositories for Muon
Users that are interested in Muon are comparing it to the libraries listed below
Sorting:
- Muon is Scalable for LLM Training☆1,440Aug 3, 2025Updated 7 months ago
- NanoGPT (124M) in 2 minutes☆4,679Updated this week
- Efficient optimizers☆285Dec 20, 2025Updated 2 months ago
- Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793☆453May 13, 2025Updated 9 months ago
- 🚀 Efficient implementations of state-of-the-art linear attention models☆4,428Updated this week
- Schedule-Free Optimization in PyTorch☆2,257May 21, 2025Updated 9 months ago
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆237Jun 15, 2025Updated 8 months ago
- Efficient Triton Kernels for LLM Training☆6,162Updated this week
- A PyTorch native platform for training generative AI models☆5,098Updated this week
- Minimalistic large language model 3D-parallelism training☆2,579Feb 19, 2026Updated last week
- ☆252Dec 2, 2024Updated last year
- Fast and memory-efficient exact attention☆22,361Updated this week
- Helpful tools and examples for working with flex-attention☆1,140Feb 8, 2026Updated 3 weeks ago
- Official PyTorch implementation for "Large Language Diffusion Models"☆3,609Nov 12, 2025Updated 3 months ago
- supporting pytorch FSDP for optimizers☆84Dec 8, 2024Updated last year
- When it comes to optimizers, it's always better to be safe than sorry☆404Sep 26, 2025Updated 5 months ago
- Mamba SSM architecture☆17,257Feb 18, 2026Updated last week
- verl: Volcano Engine Reinforcement Learning for LLMs☆19,519Updated this week
- Dion optimizer algorithm☆441Jan 16, 2026Updated last month
- Tile primitives for speedy kernels☆3,202Feb 24, 2026Updated last week
- Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.☆4,754Jul 18, 2025Updated 7 months ago
- For optimization algorithm research and development.☆558Feb 23, 2026Updated last week
- PyTorch native quantization and sparsity for training and inference☆2,707Updated this week
- CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds☆359Nov 15, 2025Updated 3 months ago
- Minimalistic 4D-parallelism distributed training framework for education purpose☆2,099Aug 26, 2025Updated 6 months ago
- ☆585Sep 23, 2025Updated 5 months ago
- MoBA: Mixture of Block Attention for Long-Context LLMs☆2,073Apr 3, 2025Updated 11 months ago
- Ring attention implementation with flash attention☆986Sep 10, 2025Updated 5 months ago
- A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes…☆4,167Jan 5, 2026Updated last month
- Minimal reproduction of DeepSeek R1-Zero☆12,853Updated this week
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆10,353Feb 20, 2026Updated last week
- Code for BLT research paper☆2,029Nov 3, 2025Updated 4 months ago
- Train transformer language models with reinforcement learning.☆17,460Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,997Updated this week
- PyTorch native post-training library☆5,691Updated this week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆595Aug 12, 2025Updated 6 months ago
- 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"☆969Feb 5, 2026Updated 3 weeks ago
- An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & TIS & vLLM & Ray & Async RL)☆9,037Feb 21, 2026Updated last week
- GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection☆1,678Oct 28, 2024Updated last year