naver-aics / lut-gemmLinks
☆60Updated 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:
- ☆149Updated 11 months ago
- This repository contains integer operators on GPUs for PyTorch.☆206Updated last year
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆63Updated last year
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆50Updated 3 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆216Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆111Updated last week
- ☆48Updated last year
- ☆52Updated 11 months ago
- ☆153Updated 2 years ago
- PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.☆110Updated 7 months ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆47Updated 2 years ago
- ☆77Updated 5 months ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆52Updated this week
- Code Repository of Evaluating Quantized Large Language Models☆130Updated 10 months ago
- ☆103Updated last year
- ☆31Updated last year
- llama INT4 cuda inference with AWQ☆54Updated 5 months ago
- ☆54Updated last year
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆141Updated last month
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆255Updated 8 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆115Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆313Updated last year
- PyTorch emulation library for Microscaling (MX)-compatible data formats☆257Updated 3 weeks ago
- ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction (NIPS'24)☆41Updated 6 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆112Updated last year
- LLM Inference with Microscaling Format☆24Updated 8 months ago
- [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…☆67Updated 3 months ago
- A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores☆52Updated last year
- ☆96Updated 10 months ago