Alternatives and similar repositories for GPTQ-triton

Users that are interested in GPTQ-triton are comparing it to the libraries listed below

• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆689Updated 9 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆355Updated 9 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆365Updated last year
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆189Updated 2 years ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆251Updated 7 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆204Updated last year
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆172Updated 2 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆287Updated 3 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆305Updated 11 months ago
• neuralmagic / AutoFP8
  ☆193Updated 3 weeks ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆831Updated 8 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆275Updated last year
• Cornell-RelaxML / quip-sharp
  ☆536Updated 7 months ago
• mlc-ai / llm-perf-bench
  ☆119Updated last year
• haochengxi / Train_Transformers_with_INT4
  ☆149Updated last year
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆198Updated 3 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆205Updated last year
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆208Updated 9 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆303Updated last week
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆602Updated 8 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆271Updated this week
• FMInference / DejaVu
  ☆322Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆390Updated 6 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆99Updated last month
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆156Updated last year
• IST-DASLab / QUIK
  Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
  ☆182Updated last year
• Vahe1994 / SpQR
  ☆542Updated 5 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆118Updated last year
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆345Updated 4 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆271Updated 11 months ago