Alternatives and similar repositories for Quamba

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

• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated 10 months ago
• thu-ml / Jetfire-INT8Training
  ☆51Updated last year
• FasterDecoding / TEAL
  ☆141Updated 6 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆81Updated 7 months ago
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆51Updated 2 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆29Updated 9 months ago
• Dao-AILab / grouped-latent-attention
  ☆124Updated 3 months ago
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆52Updated 9 months ago
• mit-han-lab / x-attention
  [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆224Updated last month
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆33Updated last year
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆47Updated last month
• IST-DASLab / HALO
  HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…
  ☆20Updated 6 months ago
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆98Updated 3 months ago
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆135Updated 6 months ago
• ScalingIntelligence / CATS
  ☆29Updated 9 months ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆69Updated 6 months ago
• Qualcomm-AI-research / gptvq
  ☆33Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆148Updated 3 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆91Updated 2 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• 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
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆139Updated 3 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆227Updated this week
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆113Updated 2 months ago
• tilde-research / nsa-impl
  An efficient implementation of the NSA (Native Sparse Attention) kernel
  ☆114Updated 2 months ago
• HanGuo97 / log-linear-attention
  ☆240Updated 2 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆104Updated 5 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆76Updated 10 months ago