Alternatives and similar repositories for muon_fsdp_2

Users that are interested in muon_fsdp_2 are comparing it to the libraries listed below

• NVIDIA-NeMo / Emerging-Optimizers
  ☆115Updated 2 weeks ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆75Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆108Updated 3 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆225Updated 6 months ago
• mgmalek / efficient_cross_entropy
  ☆124Updated last year
• lmsdss / LayerNorm-Scaling
  Official Pytorch Implementation of "The Curse of Depth in Large Language Models" by Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin,Yefen…
  ☆65Updated last week
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆181Updated 6 months ago
• cloneofsimo / min-fsdp
  ☆92Updated last year
• berlino / seq_icl
  ☆53Updated last year
• test-time-training / ttt-tk
  ☆43Updated 2 months ago
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• thinking-machines-lab / manifolds
  Supporting code for the blog post on modular manifolds.
  ☆111Updated 3 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆87Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆62Updated 6 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆90Updated 5 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated last year
• tilde-research / nsa-impl
  An efficient implementation of the NSA (Native Sparse Attention) kernel
  ☆128Updated 6 months ago
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆84Updated last year
• Dao-AILab / grouped-latent-attention
  ☆133Updated 7 months ago
• sustcsonglin / mamba-triton
  ☆51Updated last year
• fal-ai-community / nano-mdm
  Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun
  ☆56Updated 10 months ago
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆85Updated 6 months ago
• LIONS-EPFL / scion
  ☆52Updated 3 weeks ago
• amazon-science / mxfp4-llm
  Official implementation for Training LLMs with MXFP4
  ☆116Updated 8 months ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆41Updated 2 weeks ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆103Updated 10 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year