Alternatives and similar repositories for llm_reproducibility

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

• tilde-research / nsa-impl
  An efficient implementation of the NSA (Native Sparse Attention) kernel
  ☆114Updated 2 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆91Updated 2 months ago
• Infini-AI-Lab / Kinetics
  Kinetics: Rethinking Test-Time Scaling Laws
  ☆80Updated last month
• sail-sg / SimLayerKV
  The official implementation of paper: SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction.
  ☆48Updated 10 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆69Updated 6 months ago
• sustcsonglin / linear-attention-and-beyond-slides
  ☆80Updated 6 months ago
• OpenSparseLLMs / Linearization
  ☆55Updated last month
• Infini-AI-Lab / Multiverse
  ☆87Updated last month
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆176Updated 2 months ago
• HanGuo97 / log-linear-attention
  ☆240Updated 2 months ago
• Dao-AILab / grouped-latent-attention
  ☆124Updated 3 months ago
• OpenSparseLLMs / Linear-MoE
  ☆117Updated 2 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆61Updated 10 months ago
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆145Updated last month
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 5 months ago
• li-plus / flash-preference
  Accelerate LLM preference tuning via prefix sharing with a single line of code
  ☆43Updated 2 months ago
• Infini-AI-Lab / gsm_infinite
  ☆52Updated 2 months ago
• hao-ai-lab / Dynasor
  Simple extension on vLLM to help you speed up reasoning model without training.
  ☆181Updated 3 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆76Updated 10 months ago
• CASE-Lab-UMD / Unified-MoE-Compression
  The official implementation of the paper "Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques (TMLR)".
  ☆74Updated 5 months ago
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆92Updated 2 months ago
• metacarbon / shareAtt
  Beyond KV Caching: Shared Attention for Efficient LLMs
  ☆19Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆85Updated last month
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆51Updated last month
• pan-x-c / EE-LLM
  EE-LLM is a framework for large-scale training and inference of early-exit (EE) large language models (LLMs).
  ☆67Updated last year
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆144Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆125Updated 9 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆42Updated last year
• Infini-AI-Lab / APE
  ☆33Updated 6 months ago