Alternatives and similar repositories for decoupleQ:

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

• ruikangliu / FlatQuant
  Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization
  ☆102Updated 3 weeks ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆101Updated this week
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆234Updated 3 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆240Updated 8 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆92Updated 9 months ago
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆100Updated 9 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆190Updated last year
• OpenPPL / ppl.nn.llm
  ☆140Updated 9 months ago
• AlibabaPAI / FLASHNN
  ☆81Updated 5 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆295Updated 7 months ago
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆269Updated 5 months ago
• InternLM / turbomind
  ☆67Updated 2 months ago
• madsys-dev / deepseekv2-profile
  ☆104Updated 6 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆184Updated last year
• neuralmagic / AutoFP8
  ☆172Updated 4 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆116Updated 11 months ago
• OpenPPL / ppl.llm.serving
  ☆127Updated last month
• bytedance / AffineQuant
  Official implementation of the ICLR 2024 paper AffineQuant
  ☆24Updated 10 months ago
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆512Updated this week
• ChenMnZ / PrefixQuant
  An algorithm for static activation quantization of LLMs
  ☆116Updated 2 weeks 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 5 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆342Updated 2 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆245Updated 2 months ago
• DefTruth / ffpa-attn-mma
  📚FFPA: Yet another Faster Flash Prefill Attention with O(1)⚡️SRAM complexity for headdim > 256, 1.8x~3x↑🎉faster than SDPA EA.
  ☆106Updated this week
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆116Updated 5 months ago
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆159Updated last week
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆97Updated 7 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆143Updated 8 months ago
• ModelTC / llmc
  [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…
  ☆407Updated this week
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆332Updated 6 months ago