# api-reference

> miles uses the same Sample dataclass as slime with the rollout_routed_experts field for MoE routing replay.

- Source: https://doutorai.pt/en/components/skills__api-reference-2
- Type: Skills
- Category: AI research
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## 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.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/api-reference-2 && curl -fsSL https://doutorai.pt/data/lib/skills__api-reference-2.md -o .claude/skills/api-reference-2/SKILL.md
```

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

## Content

````
# miles API Reference

## Overview

miles is an enterprise-grade RL framework built on slime, adding advanced features for large-scale MoE training:

- Unified FP8 training and inference
- INT4 Quantization-Aware Training
- Rollout Routing Replay (R3)
- Speculative RL training

**Note**: miles inherits slime's configuration system. See [slime API Reference](../../slime/references/api-reference.md) for base arguments.

## Core Data Structures

miles uses the same `Sample` dataclass as slime with the `rollout_routed_experts` field for MoE routing replay.

## Quick Start

```bash
python train.py 

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

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## Save hours every week with AI, no hassle

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__api-reference-2