AniZpZ / AutoSmoothQuantLinks
An easy-to-use package for implementing SmoothQuant for LLMs
☆103Updated 4 months ago
Alternatives and similar repositories for AutoSmoothQuant
Users that are interested in AutoSmoothQuant are comparing it to the libraries listed below
Sorting:
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆137Updated 4 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆151Updated 2 weeks ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆117Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆318Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆39Updated 5 months ago
- ☆96Updated 10 months ago
- ☆92Updated 4 months ago
- ☆145Updated 5 months ago
- This repository contains integer operators on GPUs for PyTorch.☆211Updated last year
- A quantization algorithm for LLM☆141Updated last year
- ☆79Updated 6 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆211Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆145Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆260Updated 3 weeks ago
- A collection of memory efficient attention operators implemented in the Triton language.☆275Updated last year
- ☆139Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆107Updated 2 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆305Updated 5 months ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆52Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆134Updated 3 weeks ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆59Updated last year
- ☆128Updated 7 months ago
- ☆195Updated 3 months ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆57Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆26Updated last year
- ⚡️FFPA: Extend FlashAttention-2 with Split-D, achieve ~O(1) SRAM complexity for large headdim, 1.8x~3x↑ vs SDPA.🎉☆194Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆365Updated 11 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆312Updated 6 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆221Updated last month