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.
  ☆107Updated 3 weeks ago
• ruikangliu / FlatQuant
  Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization
  ☆108Updated last month
• madsys-dev / deepseekv2-profile
  ☆120Updated last week
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆298Updated 8 months ago
• AlibabaPAI / FLASHNN
  ☆87Updated 6 months ago
• microsoft / chunk-attention
  ☆63Updated 3 months ago
• InternLM / turbomind
  ☆74Updated 3 months ago
• bytedance / decoupleQ
  A quantization algorithm for LLM
  ☆134Updated 8 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆250Updated 9 months ago
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆105Updated 9 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.
  ☆35Updated 2 weeks ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆103Updated 2 months ago
• OpenPPL / ppl.nn.llm
  ☆139Updated 10 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆118Updated last month
• bytedance / AffineQuant
  Official implementation of the ICLR 2024 paper AffineQuant
  ☆24Updated 11 months ago
• neuralmagic / AutoFP8
  ☆179Updated 5 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆193Updated last year
• ClubieDong / QAQ-KVCacheQuantization
  QAQ: Quality Adaptive Quantization for LLM KV Cache
  ☆47Updated 11 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆157Updated 8 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆187Updated last year
• OpenPPL / ppl.llm.serving
  ☆127Updated 2 months ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆66Updated 8 months ago
• Adlik / smoothquantplus
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆22Updated 11 months ago
• void-main / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆59Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆238Updated 4 months ago
• andy-yang-1 / DoubleSparse
  16-fold memory access reduction with nearly no loss
  ☆80Updated 3 weeks ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆67Updated 6 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆57Updated 7 months ago
• linfeng93 / BiTA
  An innovative method expediting LLMs via streamlined semi-autoregressive generation and draft verification.
  ☆24Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆335Updated 7 months ago