ByteDance-Seed / decoupleQLinks
A quantization algorithm for LLM
☆143Updated last year
Alternatives and similar repositories for decoupleQ
Users that are interested in decoupleQ are comparing it to the libraries listed below
Sorting:
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆144Updated 2 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆107Updated 6 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆179Updated last week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆122Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆266Updated 3 months ago
- A collection of memory efficient attention operators implemented in the Triton language.☆282Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆160Updated 5 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆317Updated 7 months ago
- Official implementation of the ICLR 2024 paper AffineQuant☆27Updated last year
- ☆148Updated 7 months ago
- ☆97Updated 7 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆217Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆108Updated last week
- ☆120Updated 2 months ago
- ☆82Updated 9 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆248Updated last week
- This repository contains integer operators on GPUs for PyTorch.☆220Updated 2 years ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆180Updated 6 months ago
- ☆205Updated 5 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆125Updated 4 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆223Updated 2 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆242Updated 2 months ago
- ☆139Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆79Updated 6 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆389Updated last year
- AFPQ code implementation☆23Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆41Updated 7 months ago