Alternatives and similar repositories for QuIP

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

• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆689Updated 9 months ago
• Cornell-RelaxML / quip-sharp
  ☆534Updated 7 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆275Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆355Updated 9 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆299Updated 2 years ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆429Updated 4 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆135Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆390Updated 6 months ago
• Vahe1994 / SpQR
  ☆542Updated 5 months ago
• IST-DASLab / QUIK
  Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
  ☆182Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆152Updated last year
• yxli2123 / LoftQ
  ☆222Updated 11 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆345Updated 4 months ago
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆421Updated last year
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆831Updated 8 months ago
• OpenGVLab / EfficientQAT
  [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  ☆270Updated last week
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆189Updated 2 years ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆799Updated 9 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆204Updated last year
• FasterDecoding / BitDelta
  ☆197Updated 5 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆211Updated 6 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆808Updated last week
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆281Updated 3 months ago
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆217Updated 4 months ago
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆198Updated 3 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆305Updated 11 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆199Updated 10 months ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆386Updated 10 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆266Updated 5 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆303Updated 4 months ago