moe-training
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scal
- Skills
- AI research
- 0
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/moe-training && curl -fsSL https://doutorai.pt/data/lib/skills__moe-training.md -o .claude/skills/moe-training/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: moe-training
description: Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Emerging Techniques, MoE, Mixture Of Experts, Sparse Models, DeepSpeed, Expert Parallelism, Mi
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