neuralmagic / compressed-tensors
A safetensors extension to efficiently store sparse quantized tensors on disk
☆26Updated this week
Related projects: ⓘ
- Simple and fast low-bit matmul kernels in CUDA☆48Updated this week
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆156Updated this week
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆36Updated 8 months ago
- Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…☆73Updated last month
- Boosting 4-bit inference kernels with 2:4 Sparsity☆47Updated 2 weeks ago
- Cataloging released Triton kernels.☆111Updated 3 weeks ago
- Code for Palu: Compressing KV-Cache with Low-Rank Projection☆39Updated this week
- ☆124Updated last week
- Applied AI experiments and examples for PyTorch☆123Updated last month
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆57Updated 5 months ago
- Repository for CPU Kernel Generation for LLM Inference☆25Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆94Updated 2 weeks ago
- Experiment of using Tangent to autodiff triton☆66Updated 7 months ago
- ☆61Updated 3 weeks ago
- PyTorch half precision gemm lib w/ fused optional bias + optional relu/gelu☆25Updated 3 weeks ago
- ☆66Updated 3 months ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆66Updated 3 months ago
- This repository contains the experimental PyTorch native float8 training UX☆210Updated last month
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆88Updated 11 months ago
- ring-attention experiments☆89Updated 5 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆134Updated 2 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆87Updated 3 months ago
- ☆32Updated 7 months ago
- A place to store reusable transformer components of my own creation or found on the interwebs☆43Updated 3 weeks ago
- Example of applying CUDA graphs to LLaMA-v2☆10Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆144Updated this week
- A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.☆68Updated 2 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆81Updated 2 months ago
- Fast Inference of MoE Models with CPU-GPU Orchestration☆163Updated 3 months ago
- Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆55Updated this week