tspeterkim / paged-attention-minimalLinks
a minimal cache manager for PagedAttention, on top of llama3.
☆89Updated 9 months ago
Alternatives and similar repositories for paged-attention-minimal
Users that are interested in paged-attention-minimal are comparing it to the libraries listed below
Sorting:
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆127Updated this week
- ☆79Updated 6 months ago
- A minimal implementation of vllm.☆41Updated 10 months ago
- Fast low-bit matmul kernels in Triton☆303Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 10 months ago
- ☆208Updated 10 months ago
- Cataloging released Triton kernels.☆226Updated 4 months ago
- A lightweight design for computation-communication overlap.☆132Updated 3 weeks ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆211Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆93Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆305Updated 11 months ago
- ☆95Updated 8 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆75Updated 9 months ago
- ☆210Updated this week
- Applied AI experiments and examples for PyTorch☆271Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆251Updated 7 months ago
- Collection of kernels written in Triton language☆125Updated last month
- A collection of memory efficient attention operators implemented in the Triton language.☆271Updated 11 months ago
- ☆85Updated 2 months ago
- ring-attention experiments☆143Updated 7 months ago
- ☆86Updated 5 months ago
- ☆105Updated 9 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆384Updated this week
- extensible collectives library in triton☆87Updated 2 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- ☆73Updated 4 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆99Updated last month
- llama INT4 cuda inference with AWQ☆54Updated 4 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆125Updated 5 months ago
- ☆146Updated 10 months ago