Alternatives and similar repositories for SqueezeLLM

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

• Vahe1994 / SpQR
  ☆543Updated 6 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆373Updated last year
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆827Updated last month
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆138Updated last year
• Cornell-RelaxML / quip-sharp
  ☆547Updated 8 months ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆812Updated 10 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆433Updated 5 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆302Updated 2 years ago
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆771Updated 11 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆360Updated 11 months ago
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆842Updated last week
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆855Updated 10 months ago
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,259Updated 4 months ago
• yxli2123 / LoftQ
  ☆223Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆621Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆302Updated 4 months ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆388Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆718Updated 5 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆210Updated last year
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆423Updated last year
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆701Updated last year
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆192Updated 2 years ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,440Updated 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…
  ☆717Updated 4 months ago
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,073Updated last year
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆612Updated 9 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…
  ☆1,031Updated 9 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆404Updated 7 months ago
• apoorvumang / prompt-lookup-decoding
  ☆546Updated 10 months ago