Alternatives and similar repositories for qtip:

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

• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆229Updated this week
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆102Updated 4 months ago
• ChenMnZ / PrefixQuant
  An algorithm for static activation quantization of LLMs
  ☆116Updated 2 weeks ago
• FasterDecoding / TEAL
  ☆111Updated last week
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆193Updated 3 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆157Updated 7 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆143Updated 8 months ago
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆50Updated 11 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆342Updated 2 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆272Updated last month
• OpenGVLab / EfficientQAT
  EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆246Updated 4 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆151Updated last year
• Aaronhuang-778 / SliM-LLM
  SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
  ☆27Updated 6 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆56Updated 3 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆64Updated 5 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆77Updated this week
• pprp / Pruner-Zero
  Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆78Updated 2 months ago
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆213Updated last week
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆115Updated 2 weeks ago
• jiwonsong-dev / SLEB
  Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  ☆33Updated 2 weeks ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆295Updated 7 months ago
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆107Updated 2 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆77Updated this week
• thu-nics / MoA
  The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆114Updated 2 months ago
• NVlabs / COAT
  ☆87Updated this week
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆116Updated 2 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆133Updated last week
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆206Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆234Updated 3 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆332Updated 6 months ago