Alternatives and similar repositories for HALO

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

• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆33Updated last year
• thu-ml / Jetfire-INT8Training
  ☆60Updated last year
• FasterDecoding / TEAL
  ☆155Updated 9 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆170Updated last year
• ByteDance-Seed / FlexPrefill
  Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
  ☆156Updated last month
• INT-FlashAttention2024 / INT-FlashAttention
  ☆83Updated 10 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆169Updated 2 weeks ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆82Updated last year
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆64Updated 5 months ago
• Qualcomm-AI-research / lr-qat
  ☆49Updated last year
• zhangsichengsjtu / AFPQ
  AFPQ code implementation
  ☆24Updated 2 years ago
• SqueezeAILab / SqueezedAttention
  [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference
  ☆54Updated last year
• Aaronhuang-778 / SliM-LLM
  [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆46Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆121Updated 5 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆109Updated 8 months ago
• Dao-AILab / grouped-latent-attention
  ☆132Updated 6 months ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆24Updated last year
• thu-ml / TetraJet-MXFP4Training
  Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training
  ☆33Updated 5 months ago
• fmfi-compbio / admm-pruning
  ☆30Updated last year
• ScalingIntelligence / CATS
  ☆31Updated last year
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated last year
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated last year
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆251Updated 4 months ago
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆148Updated 9 months ago
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆153Updated 2 weeks ago
• Qualcomm-AI-research / gptvq
  ☆37Updated last year
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆61Updated 5 months ago
• cat538 / SKVQ
  [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
  ☆25Updated last year
• luuyin / OWL
  Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"
  ☆74Updated 5 months ago
• Infini-AI-Lab / vortex_torch
  Vortex: A Flexible and Efficient Sparse Attention Framework
  ☆41Updated last week