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.
  ☆738Updated 8 months ago
• 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…
  ☆1,002Updated 6 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆686Updated 8 months ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,392Updated 9 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆800Updated 6 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆424Updated 3 months ago
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,093Updated last year
• Cornell-RelaxML / quip-sharp
  ☆531Updated 5 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆598Updated last year
• Vahe1994 / SpQR
  ☆543Updated 4 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆363Updated last year
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆131Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,242Updated last month
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆803Updated 7 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆280Updated last month
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆376Updated 4 months ago
• FMInference / DejaVu
  ☆313Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆704Updated 3 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆340Updated 8 months ago
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆593Updated 6 months ago
• yxli2123 / LoftQ
  ☆219Updated 10 months ago
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,183Updated this week
• 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…
  ☆643Updated last month
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆386Updated 9 months ago
• mit-han-lab / llm-awq
  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  ☆2,942Updated last week
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆791Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆300Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,054Updated 11 months ago
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,099Updated last year
• sabetAI / BLoRA
  batched loras
  ☆341Updated last year