Alternatives and similar repositories for AutoSmoothQuant

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

• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆154Updated 5 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆44Updated 11 months ago
• OpenBitSys / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆133Updated last year
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆208Updated 2 months ago
• madsys-dev / deepseekv2-profile
  ☆155Updated 11 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆335Updated last year
• InternLM / turbomind
  ☆96Updated 10 months ago
• ByteDance-Seed / decoupleQ
  A quantization algorithm for LLM
  ☆148Updated last year
• AlibabaPAI / FLASHNN
  ☆105Updated last year
• flagos-ai / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆287Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆276Updated 6 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆237Updated 2 years ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆220Updated 2 years ago
• OpenPPL / ppl.nn.llm
  ☆141Updated last year
• OpenPPL / ppl.llm.serving
  ☆130Updated last year
• microsoft / chunk-attention
  ☆85Updated 9 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆142Updated 8 months ago
• Adlik / smoothquantplus
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆23Updated last year
• neuralmagic / AutoFP8
  ☆206Updated 9 months ago
• INT-FlashAttention2024 / INT-FlashAttention
  ☆84Updated last year
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆258Updated 5 months ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆55Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆172Updated 2 months ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆233Updated 2 years ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆402Updated last year
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 4 months ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated 2 years ago
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆199Updated 2 years ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆323Updated 11 months ago