High Performance FP8 GEMM Kernels for SM89 and later GPUs.
☆22Jan 24, 2025Updated last year
Alternatives and similar repositories for gemm-fp8
Users that are interested in gemm-fp8 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High Performance Int8 GEMM Kernels for SM80 and later GPUs.☆24Mar 11, 2025Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆31Feb 17, 2025Updated last year
- IntLLaMA: A fast and light quantization solution for LLaMA☆19Jul 21, 2023Updated 3 years ago
- BGEMM-CUDA is a CUDA-based low-bit GEMM kernel library for efficient neural network inference. It implements optimized binary and ternary…☆20Aug 30, 2024Updated last year
- [ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binar…☆56Mar 4, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- FLA but cuTile☆27Apr 17, 2026Updated 3 months ago
- PyTorch Quantization Framework For OCP MX Datatypes.☆16May 30, 2025Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated last year
- ☆127Mar 18, 2026Updated 4 months ago
- A fork of the PEFT library, supporting Robust Adaptation (RoSA)☆15Aug 16, 2024Updated last year
- This project is the official implementation of our accepted IEEE TPAMI paper Diverse Sample Generation: Pushing the Limit of Data-free Qu…☆16Feb 26, 2023Updated 3 years ago
- ☆15Feb 5, 2025Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆77Jul 8, 2025Updated last year
- This repository contains the figures, tables and source code in the ICS'24 paper: "Accelerated Auto-Tuning of GPU Kernels for Tensor Comp…☆10Dec 5, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆197Jul 20, 2026Updated 3 weeks ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- ☆34Feb 3, 2025Updated last year
- A Triton JIT runtime and ffi provider in C++☆38Updated this week
- ☆15Oct 2, 2025Updated 10 months ago
- [NeurIPS 2023] ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer☆31Dec 6, 2023Updated 2 years ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆224Nov 25, 2025Updated 8 months ago
- Elixir: Train a Large Language Model on a Small GPU Cluster☆16Jun 8, 2023Updated 3 years ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆59Aug 12, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The official implementation of the ICML 2023 paper OFQ-ViT☆39Oct 3, 2023Updated 2 years ago
- ☆25Oct 31, 2024Updated last year
- ☆11Jan 10, 2025Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆39Aug 20, 2024Updated last year
- GEMV implementation with CUTLASS☆21Aug 21, 2025Updated 11 months ago
- ☆18Feb 28, 2023Updated 3 years ago
- Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models☆49Nov 5, 2024Updated last year
- Production-ready MoE load balancing via real-time expert replication☆228Jul 17, 2026Updated 3 weeks ago
- Implement Flash Attention using Cute.☆111Dec 17, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- BitSplit Post-trining Quantization☆49Dec 20, 2021Updated 4 years ago
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆30Jan 22, 2026Updated 6 months ago
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆22Oct 15, 2024Updated last year
- [ICML 2026] Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning☆35Sep 12, 2025Updated 10 months ago
- [ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architecture…☆23Oct 1, 2022Updated 3 years ago
- ☆18May 19, 2025Updated last year
- DeiT implementation for Q-ViT☆26Apr 21, 2025Updated last year