neuralmagic / compressed-tensorsLinks
A safetensors extension to efficiently store sparse quantized tensors on disk
☆149Updated last week
Alternatives and similar repositories for compressed-tensors
Users that are interested in compressed-tensors are comparing it to the libraries listed below
Sorting:
- ☆195Updated 3 months ago
- Fast low-bit matmul kernels in Triton☆349Updated this week
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 11 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆261Updated last month
- Applied AI experiments and examples for PyTorch☆290Updated 2 months ago
- ☆147Updated 2 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆226Updated 9 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆221Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆208Updated last week
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆138Updated this week
- KV cache compression for high-throughput LLM inference☆134Updated 6 months ago
- Code for data-aware compression of DeepSeek models☆43Updated 2 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 10 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆119Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆372Updated last year
- Collection of kernels written in Triton language☆145Updated 4 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- A Quirky Assortment of CuTe Kernels☆407Updated this week
- kernels, of the mega variety☆472Updated 2 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆204Updated this week
- ☆232Updated this week
- PyTorch bindings for CUTLASS grouped GEMM.☆109Updated 2 months ago
- ☆139Updated 6 months ago
- Efficient LLM Inference over Long Sequences☆389Updated last month
- Load compute kernels from the Hub☆244Updated this week
- ☆74Updated 4 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆314Updated 7 months ago
- ☆110Updated 11 months ago
- Cataloging released Triton kernels.☆252Updated 7 months ago