tspeterkim / mixed-precision-from-scratchLinks
Mixed precision training from scratch with Tensors and CUDA
☆28Updated last year
Alternatives and similar repositories for mixed-precision-from-scratch
Users that are interested in mixed-precision-from-scratch are comparing it to the libraries listed below
Sorting:
- The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.☆91Updated 4 months ago
- ☆132Updated 6 months ago
- ring-attention experiments☆160Updated last year
- This repository contains the experimental PyTorch native float8 training UX☆227Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆106Updated 2 months ago
- A bunch of kernels that might make stuff slower 😉☆65Updated 2 weeks ago
- Collection of kernels written in Triton language☆173Updated 8 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆86Updated last year
- Load compute kernels from the Hub☆347Updated this week
- Automatic differentiation for Triton Kernels☆29Updated 4 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆147Updated last month
- Code for studying the super weight in LLM☆121Updated last year
- Cataloging released Triton kernels.☆277Updated 3 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- ☆112Updated 3 weeks ago
- ☆177Updated last year
- ☆262Updated this week
- Applied AI experiments and examples for PyTorch☆309Updated 3 months ago
- a minimal cache manager for PagedAttention, on top of llama3.☆127Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆135Updated last year
- ☆155Updated 10 months ago
- Fast low-bit matmul kernels in Triton☆407Updated 3 weeks ago
- ☆121Updated last year
- ☆27Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆216Updated this week
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆146Updated last year
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆222Updated 6 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆302Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆253Updated 2 months ago
- PyTorch bindings for CUTLASS grouped GEMM.☆132Updated 6 months ago