Alternatives and similar repositories for OutEffHop

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

• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆69Updated 6 months ago
• selfsupervised-ai / Natural-GaLore
  An extention to the GaLore paper, to perform Natural Gradient Descent in low rank subspace
  ☆17Updated 10 months ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆52Updated 9 months ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated 10 months ago
• insuhan / hyper-attn
  ☆82Updated last year
• FasterDecoding / TEAL
  ☆141Updated 6 months ago
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆85Updated last month
• Cornell-RelaxML / qtip
  ☆149Updated 2 months ago
• dame-cell / Triformer
  Transformers components but in Triton
  ☆34Updated 3 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆91Updated 2 months ago
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆58Updated last year
• tilde-research / nsa-impl
  An efficient implementation of the NSA (Native Sparse Attention) kernel
  ☆114Updated 2 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆76Updated 10 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆129Updated 9 months ago
• Infini-AI-Lab / Sirius
  Sirius, an efficient correction mechanism, which significantly boosts Contextual Sparsity models on reasoning tasks while maintaining its…
  ☆22Updated 11 months ago
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆14Updated last year
• ambisinister / mla-experiments
  Experiments on Multi-Head Latent Attention
  ☆95Updated last year
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆135Updated 6 months ago
• pzs19 / TokenSelect
  ☆15Updated 5 months ago
• LeanModels / LeanQuant
  Code repository for ICLR 2025 paper "LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid"
  ☆20Updated 6 months ago
• wdlctc / mini-s
  ☆53Updated 10 months ago
• recursal / RADLADS-paper
  RADLADS training code
  ☆27Updated 3 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• enyac-group / Quamba
  The official repository of Quamba1 [ICLR 2025] & Quamba2 [ICML 2025]
  ☆59Updated 2 months ago
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆224Updated 7 months ago
• mit-han-lab / x-attention
  [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆224Updated last month
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆226Updated 9 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆155Updated 10 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 5 months ago