Alternatives and similar repositories for qtip

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

• IST-DASLab / Quartet
  ☆113Updated last month
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆61Updated last year
• IST-DASLab / MoE-Quant
  Code for data-aware compression of DeepSeek models
  ☆66Updated 2 weeks ago
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆227Updated 11 months ago
• IST-DASLab / QuEST
  Work in progress.
  ☆76Updated last month
• FasterDecoding / TEAL
  ☆157Updated 10 months ago
• Cornell-RelaxML / yaqa-quantization
  ☆66Updated 6 months ago
• amazon-science / mxfp4-llm
  Official implementation for Training LLMs with MXFP4
  ☆116Updated 8 months ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆148Updated 10 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆90Updated last year
• OpenGVLab / EfficientQAT
  [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆321Updated last month
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆169Updated last month
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆116Updated 2 months ago
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆225Updated last week
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆469Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆157Updated 2 years ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆253Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆395Updated last year
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated last year
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆249Updated 11 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆345Updated last month
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆108Updated 2 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆267Updated 2 months ago
• snu-mllab / GuidedQuant
  Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)
  ☆50Updated 5 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆332Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆175Updated last year
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆153Updated last month
• Anonymous1252022 / fp4-all-the-way
  ☆42Updated 7 months ago
• FasterDecoding / BitDelta
  ☆204Updated last year
• mit-han-lab / fouroversix
  Code for the paper “Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling”
  ☆93Updated last week