naver-aics / lut-gemmLinks
☆68Updated last year
Alternatives and similar repositories for lut-gemm
Users that are interested in lut-gemm are comparing it to the libraries listed below
Sorting:
- This repository contains integer operators on GPUs for PyTorch.☆213Updated last year
- ☆81Updated 7 months ago
- ☆150Updated last year
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆110Updated 8 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆64Updated last year
- ☆156Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 2 years ago
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆52Updated 4 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆113Updated last month
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆217Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- ☆51Updated last year
- ☆108Updated last year
- llama INT4 cuda inference with AWQ☆54Updated 7 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆261Updated last month
- ☆50Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 11 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆153Updated last month
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆120Updated last year
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆56Updated 2 weeks ago
- ☆33Updated last year
- Fast Hadamard transform in CUDA, with a PyTorch interface☆221Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆119Updated last year
- AFPQ code implementation☆22Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆279Updated 2 months ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆52Updated last year
- Tile-based language built for AI computation across all scales☆46Updated this week
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆72Updated 4 months ago
- LLM Inference with Microscaling Format☆27Updated 9 months ago