Alternatives and similar repositories for SpQR:

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

• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆687Updated 8 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆132Updated last year
• Cornell-RelaxML / quip-sharp
  ☆533Updated 6 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆362Updated last year
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆741Updated 9 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆298Updated last year
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆519Updated 11 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆805Updated 7 months ago
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,243Updated 2 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆607Updated last year
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆788Updated 8 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆425Updated 3 months ago
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆697Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,058Updated last year
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆274Updated last year
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,099Updated last year
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆807Updated this week
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆452Updated last year
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆812Updated 8 months ago
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆423Updated last year
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆596Updated 7 months ago
• sabetAI / BLoRA
  batched loras
  ☆341Updated last year
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆386Updated 10 months ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆985Updated 10 months ago
• huggingface / transformers-bloom-inference
  Fast Inference Solutions for BLOOM
  ☆561Updated 7 months ago
• SkunkworksAI / hydra-moe
  ☆412Updated last year
• apoorvumang / prompt-lookup-decoding
  ☆529Updated 8 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆346Updated 8 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆720Updated 7 months ago
• yxli2123 / LoftQ
  ☆221Updated 10 months ago