[ICML 2025] MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
☆28Jul 4, 2025Updated 10 months ago
Alternatives and similar repositories for MxMoE
Users that are interested in MxMoE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning to Skip the Middle Layers of Transformers☆17Aug 7, 2025Updated 8 months ago
- The official implement of "Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models"☆17Mar 24, 2025Updated last year
- ☆49May 20, 2025Updated 11 months ago
- Code repo for efficient quantized MoE inference with mixture of low-rank compensators☆36Apr 14, 2025Updated last year
- A multi-task learning framework based on pytorch☆13Nov 8, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 夜煞云机场官网地址☆22Nov 11, 2025Updated 5 months ago
- [ICML 2024] Official Repository for the paper "Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models"☆10Jul 19, 2024Updated last year
- K-MOOC 관련 자료☆12Feb 6, 2024Updated 2 years ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆39Jun 20, 2025Updated 10 months ago
- LLM Inference with Microscaling Format☆34Nov 12, 2024Updated last year
- ☆22Jan 15, 2024Updated 2 years ago
- 🚀 Seamless deployment of Medusa v2 using Coolify☆45Aug 10, 2025Updated 8 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated last year
- [ICML 2024] Sparse Model Inversion: Efficient Inversion of Vision Transformers with Less Hallucination☆14Apr 29, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆11Apr 5, 2023Updated 3 years ago
- ☆16Sep 22, 2024Updated last year
- [CVPR 2025 Highlight] FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation☆29Jun 16, 2025Updated 10 months ago
- Pytorch implementation of our UniQ method, IEEE Access -- Training Multi-bit Quantized and Binarized Networks with A Learnable Symmetric …☆11Apr 7, 2021Updated 5 years ago
- SMART introduces a novel test-time framework where Small Language Models (SLMs) reason step-by-step, and Large Language Models (LLMs) pro…☆11Jul 9, 2025Updated 9 months ago
- [CVPR 2025] QuartDepth☆17Mar 24, 2025Updated last year
- ☆15Apr 6, 2026Updated 3 weeks ago
- 学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE☆41Jul 30, 2022Updated 3 years ago
- PAthway Representation and Analysis by Direct Inference on Graphical Models☆46Feb 7, 2018Updated 8 years ago
- 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.
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆179Nov 11, 2025Updated 5 months ago
- Source code of our TNNLS paper "Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution"☆12Apr 14, 2023Updated 3 years ago
- ☆16Dec 9, 2023Updated 2 years ago
- ☆14Jul 14, 2025Updated 9 months ago
- [ICML 2025] Official PyTorch implementation of "NegMerge: Sign-Consensual Weight Merging for Machine Unlearning"☆14Nov 25, 2025Updated 5 months ago
- ☆42Oct 10, 2025Updated 6 months ago
- ☆15Apr 11, 2024Updated 2 years ago
- ☆14Oct 24, 2022Updated 3 years ago
- ☆10Apr 24, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆28Updated this week
- CVPR 2021 | Code to reproduce the results of the paper: A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab, Neural Respon…☆12Jun 23, 2021Updated 4 years ago
- ☆17Mar 10, 2025Updated last year
- The implementation for FREE-Merging: Fourier Transform for Model Merging with Lightweight Experts (ICCV25)☆15Jun 26, 2025Updated 10 months ago
- ☆14Jul 25, 2024Updated last year
- The official code for "Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation" | [MM2…☆14Dec 7, 2024Updated last year
- ☆23Dec 16, 2025Updated 4 months ago