stanford-futuredata / stkLinks
☆112Updated last year
Alternatives and similar repositories for stk
Users that are interested in stk are comparing it to the libraries listed below
Sorting:
- PyTorch bindings for CUTLASS grouped GEMM.☆124Updated 4 months ago
- Triton-based implementation of Sparse Mixture of Experts.☆246Updated 3 weeks ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆216Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆264Updated this week
- extensible collectives library in triton☆89Updated 6 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆83Updated last year
- ☆92Updated 11 months ago
- ☆158Updated 2 years ago
- Collection of kernels written in Triton language☆157Updated 6 months ago
- A Python library transfers PyTorch tensors between CPU and NVMe☆120Updated 10 months ago
- ☆41Updated last year
- Applied AI experiments and examples for PyTorch☆299Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆265Updated 3 months ago
- Odysseus: Playground of LLM Sequence Parallelism☆78Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆223Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆221Updated 2 years ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆215Updated last week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆320Updated last year
- ☆72Updated 6 months ago
- ☆130Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆169Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆116Updated last year
- ring-attention experiments☆154Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆154Updated last week
- Framework to reduce autotune overhead to zero for well known deployments.☆84Updated last month
- Cataloging released Triton kernels.☆263Updated last month
- Fast Hadamard transform in CUDA, with a PyTorch interface☆248Updated this week
- A bunch of kernels that might make stuff slower 😉☆62Updated this week
- ☆145Updated 8 months ago
- Fast low-bit matmul kernels in Triton☆381Updated 3 weeks ago