Alternatives and similar repositories for scattermoe:

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

• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆205Updated 6 months ago
• epfml / dynamic-sparse-flash-attention
  ☆138Updated last year
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆221Updated 6 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆157Updated 7 months ago
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆229Updated this week
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆240Updated last month
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆222Updated this week
• FasterDecoding / TEAL
  ☆111Updated this week
• stanford-futuredata / stk
  ☆100Updated 5 months ago
• FasterDecoding / SnapKV
  ☆220Updated 9 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆236Updated this week
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆64Updated 5 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆245Updated 2 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆225Updated this week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆107Updated 2 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆64Updated 3 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆295Updated 7 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆187Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆123Updated 4 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆221Updated this week
• alexzhang13 / flashattention2-custom-mask
  Triton implementation of FlashAttention2 that adds Custom Masks.
  ☆96Updated 6 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆332Updated 6 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆58Updated this week
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆94Updated last month
• FasterDecoding / REST
  REST: Retrieval-Based Speculative Decoding, NAACL 2024
  ☆192Updated 2 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆105Updated this week
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆89Updated this week
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆143Updated 8 months ago
• shadowpa0327 / Palu
  Code for Palu: Compressing KV-Cache with Low-Rank Projection
  ☆75Updated 2 weeks ago
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆114Updated 11 months ago