HandH1998 / QQQLinks
QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
☆124Updated last month
Alternatives and similar repositories for QQQ
Users that are interested in QQQ are comparing it to the libraries listed below
Sorting:
- An easy-to-use package for implementing SmoothQuant for LLMs☆99Updated last month
- Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆133Updated last week
- ☆95Updated 8 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- ☆193Updated 3 weeks ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆136Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆305Updated 11 months ago
- ☆85Updated 2 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆37Updated 3 months ago
- ☆137Updated 2 months ago
- A quantization algorithm for LLM☆141Updated 11 months ago
- ☆138Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆114Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 10 months ago
- ☆59Updated last month
- Official implementation of the ICLR 2024 paper AffineQuant☆26Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆205Updated last year
- ☆127Updated 5 months ago
- 📚FFPA(Split-D): Extend FlashAttention with Split-D for large headdim, O(1) GPU SRAM complexity, 1.8x~3x↑🎉 faster than SDPA EA.☆183Updated 3 weeks ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆203Updated 2 weeks ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆92Updated this week
- ☆73Updated 4 months ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆109Updated 8 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆93Updated last month
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆50Updated last year
- ☆71Updated 2 weeks ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 8 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆68Updated 9 months ago
- Code Repository of Evaluating Quantized Large Language Models☆123Updated 8 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year