ruikangliu / FlatQuant
Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization
☆63Updated last week
Related projects ⓘ
Alternatives and complementary repositories for FlatQuant
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆87Updated last month
- Code Repository of Evaluating Quantized Large Language Models☆104Updated 2 months ago
- An algorithm for static activation quantization of LLMs☆77Updated last week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆84Updated 6 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆83Updated 6 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆147Updated 4 months ago
- A sparse attention kernel supporting mix sparse patterns☆55Updated last month
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆202Updated 2 weeks ago
- AFPQ code implementation☆18Updated last year
- Official implementation of the ICLR 2024 paper AffineQuant☆22Updated 7 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆46Updated 2 years ago
- PyTorch bindings for CUTLASS grouped GEMM.☆53Updated 3 weeks ago
- QAQ: Quality Adaptive Quantization for LLM KV Cache☆42Updated 7 months ago
- ☆46Updated 2 months ago
- ☆42Updated 7 months ago
- This repository contains integer operators on GPUs for PyTorch.☆183Updated last year
- Code for Palu: Compressing KV-Cache with Low-Rank Projection☆57Updated this week
- ☆64Updated 3 months ago
- ☆79Updated 2 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆278Updated 4 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆53Updated 8 months ago
- llama INT4 cuda inference with AWQ☆48Updated 4 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆57Updated 5 months ago
- Quantized Attention on GPU☆30Updated 2 weeks ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆208Updated 3 weeks ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆112Updated 8 months ago
- ☆96Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆51Updated 2 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆90Updated 4 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆180Updated last year