architectures

Comprehensive guide to different Mixture of Experts architectures and their design patterns.

Skills
AI research
4

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/architectures && curl -fsSL https://doutorai.pt/data/lib/skills__architectures.md -o .claude/skills/architectures/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# MoE Model Architectures

Comprehensive guide to different Mixture of Experts architectures and their design patterns.

## Table of Contents
- Mixtral 8x7B (Mistral AI)
- DeepSeek-V3 (DeepSeek AI)
- Switch Transformers (Google)
- GLaM (Google)
- Comparison Table

## Mixtral 8x7B (Mistral AI - 2024)

### Architecture Overview

**Parameters:**
- Total: 47B parameters
- Active per token: 13B (2 experts out of 8)
- Each expert: ~7B parameters

**Key Features:**
- **Top-2 routing**: Each token routed to 2 experts
- **8 experts per layer**: Sparse activation
- **SMoE architecture**: Sparse Mixture 

- 🔒 Full content on the Pro plan (€7.99/month) -

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