Alternatives and similar repositories for SqueezeLLM

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

• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆370Updated last year
• Vahe1994 / SpQR
  ☆543Updated 6 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆819Updated last month
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆302Updated 2 years ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆137Updated last year
• Cornell-RelaxML / quip-sharp
  ☆541Updated 7 months ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆810Updated 10 months ago
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆763Updated 10 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆846Updated 9 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆359Updated 10 months ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆431Updated 5 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆300Updated 3 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆617Updated last year
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆832Updated this week
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,426Updated 11 months ago
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆456Updated last year
• sabetAI / BLoRA
  batched loras
  ☆343Updated last year
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆191Updated 2 years ago
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,258Updated 3 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆395Updated 6 months ago
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆521Updated 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…
  ☆1,026Updated 8 months ago
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆609Updated 8 months ago
• FMInference / DejaVu
  ☆328Updated last year
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆698Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,066Updated last year
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆207Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆310Updated 11 months ago
• yxli2123 / LoftQ
  ☆223Updated last year