colab-moe-inference

What problem does it solve?

This skill addresses the challenge of efficiently serving large-scale Mixture-of-Experts (MoE) models by enabling inference via Google Colab with a user-friendly Gradio UI on GPU resources.

Core Features & Use Cases

• Model Serving: Serve a variety of MoE models including Mixtral, DeepSeek-V3, Qwen-MoE, and OLMoE.
• Gradio UI: Accessible interface for interacting with MoE models on Colab GPU.
• Quantization: Handles sparse activation, multi-GPU, and quantization for large MoE models.
• Use Case: Use this skill to run inference on MoE models for various NLP tasks without the need for dedicated hardware.

Quick Start

Use the 'colab-moe-inference' skill to run Mixtral-8x7B MoE on Google Colab GPU.