Alternatives and similar repositories for Muon:

Users that are interested in Muon are comparing it to the libraries listed below

• Haiyang-W / TokenFormer
  [ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
  ☆548Updated 2 months ago
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆726Updated last week
• lucidrains / native-sparse-attention-pytorch
  Implementation of the sparse attention pattern proposed by the Deepseek team in their "Native Sparse Attention" paper
  ☆593Updated 3 weeks ago
• zyushun / Adam-mini
  Code for Adam-mini: Use Fewer Learning Rates To Gain More https://arxiv.org/abs/2406.16793
  ☆405Updated last week
• lucidrains / nGPT-pytorch
  Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI
  ☆279Updated last month
• MoonshotAI / Moonlight
  Muon is Scalable for LLM Training
  ☆1,022Updated 3 weeks ago
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆511Updated 5 months ago
• apple / ml-cross-entropy
  ☆419Updated this week
• fla-org / native-sparse-attention
  🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"
  ☆631Updated last month
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆317Updated 4 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆168Updated 5 months ago
• kyleliang919 / C-Optim
  When it comes to optimizers, it's always better to be safe than sorry
  ☆217Updated 3 weeks ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆530Updated this week
• seal-rg / recurrent-pretraining
  Pretraining code for a large-scale depth-recurrent language model
  ☆743Updated last week
• kuleshov-group / bd3lms
  Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
  ☆536Updated last week
• apple / ml-sigmoid-attention
  ☆264Updated 2 months ago
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆991Updated last month
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
  ☆325Updated this week
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆737Updated 2 weeks ago
• tensorgi / T6
  The official implementation of Tensor ProducT ATTenTion Transformer (T6)
  ☆361Updated this week
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆230Updated 2 months ago
• huggingface / picotron_tutorial
  ☆166Updated 2 months ago
• haoliuhl / ringattention
  Large Context Attention
  ☆704Updated 2 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆240Updated this week
• test-time-training / ttt-lm-jax
  Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
  ☆405Updated 8 months ago
• HKUNLP / Dream
  Dream 7B, a large diffusion language model
  ☆551Updated last week
• sail-sg / understand-r1-zero
  Understanding R1-Zero-Like Training: A Critical Perspective
  ☆863Updated last week
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆391Updated 5 months ago
• NVlabs / hymba
  ☆176Updated 4 months ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆368Updated this week