medusa

Medusa augments LLM inference by adding extra decoding heads to predict multiple subsequent tokens in parallel, achieving 2.2-3.6× speedup without quality loss.

Skills
AI research
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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/medusa && curl -fsSL https://doutorai.pt/data/lib/skills__medusa.md -o .claude/skills/medusa/SKILL.md

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

Content

# Medusa: Multiple Decoding Heads

Based on arXiv 2401.10774 (2024) - MEDUSA: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

## Overview

**Source**: https://arxiv.org/abs/2401.10774
**GitHub**: https://github.com/FasterDecoding/Medusa

Medusa augments LLM inference by adding extra decoding heads to predict multiple subsequent tokens in parallel, achieving 2.2-3.6× speedup without quality loss.

## Architecture

### Core Innovation

Instead of separate draft model, add multiple prediction heads to existing LLM:

```
Input → Base LLM (frozen or fine-tuned) → Hidden St

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