Alternatives and similar repositories for lr-qat

Users that are interested in lr-qat are comparing it to the libraries listed below

• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆80Updated 11 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆150Updated 4 months ago
• IST-DASLab / HALO
  HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…
  ☆23Updated 7 months ago
• ScalingIntelligence / CATS
  ☆29Updated 10 months ago
• FasterDecoding / TEAL
  ☆142Updated 7 months ago
• machilusZ / FastGen
  This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
  ☆39Updated last year
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆23Updated last year
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆132Updated last year
• Aaronhuang-778 / SliM-LLM
  [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆44Updated last year
• INT-FlashAttention2024 / INT-FlashAttention
  ☆82Updated 8 months ago
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆31Updated 10 months ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆66Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆168Updated last year
• thu-ml / Jetfire-INT8Training
  ☆53Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆115Updated 3 months ago
• zyxxmu / cam
  Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
  ☆46Updated last year
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆54Updated 2 months ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆22Updated 11 months ago
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆143Updated 4 months ago
• Qualcomm-AI-research / gptvq
  ☆35Updated last year
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆146Updated 2 months ago
• TianjinYellow / StableSPAM
  ☆24Updated 6 months ago
• fmfi-compbio / admm-pruning
  ☆29Updated last year
• Dao-AILab / grouped-latent-attention
  ☆129Updated 4 months ago
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆241Updated last month
• SqueezeAILab / SqueezedAttention
  SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference
  ☆54Updated 10 months ago
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆94Updated 10 months ago
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆57Updated 3 months ago
• utkarsh-dmx / project-resq
  ☆20Updated 6 months ago