usyd-fsalab / fp6_llmLinks
An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
☆271Updated 4 months ago
Alternatives and similar repositories for fp6_llm
Users that are interested in fp6_llm are comparing it to the libraries listed below
Sorting:
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆327Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆127Updated 5 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆222Updated 2 years ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆120Updated last year
- ☆243Updated last year
- A collection of memory efficient attention operators implemented in the Triton language.☆284Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆145Updated 2 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆255Updated 3 weeks ago
- This repository contains integer operators on GPUs for PyTorch.☆222Updated 2 years ago
- ☆102Updated last year
- Applied AI experiments and examples for PyTorch☆303Updated 2 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆708Updated 3 months ago
- Fast low-bit matmul kernels in Triton☆395Updated 3 weeks ago
- ☆159Updated last year
- A lightweight design for computation-communication overlap.☆183Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆85Updated last year
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆390Updated last year
- ☆151Updated 8 months ago
- ☆147Updated 10 months ago
- llama INT4 cuda inference with AWQ☆55Updated 9 months ago
- ☆93Updated last year
- ☆346Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆107Updated 7 months ago
- ☆83Updated 9 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆217Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆282Updated this week
- ☆112Updated last year
- ☆97Updated 7 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆128Updated last week