Alternatives and similar repositories for sparsegpt

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

• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆815Updated last year
• horseee / LLM-Pruner
  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…
  ☆1,078Updated last year
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆704Updated last year
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆867Updated 5 months ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,543Updated last year
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆447Updated 9 months ago
• Vahe1994 / SpQR
  ☆547Updated 10 months ago
• Cornell-RelaxML / quip-sharp
  ☆564Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,295Updated 8 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆631Updated last year
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆143Updated last year
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆385Updated last year
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,212Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆443Updated 11 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆318Updated 8 months ago
• yxli2123 / LoftQ
  ☆233Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆389Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,114Updated last year
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆924Updated last year
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆627Updated last year
• FMInference / DejaVu
  ☆345Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,132Updated last year
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆775Updated 8 months ago
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆339Updated 8 months ago
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆331Updated last month
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆389Updated last year
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆313Updated 2 years ago
• dropbox / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆886Updated 2 weeks ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆467Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆746Updated 3 weeks ago