# quantized-export

> Export a promoted fine-tuned model in the right deployment format - merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes

- Source: https://doutorai.pt/en/components/skills__wshobson-agents__quantized-export
- Type: Skills
- Category: General
- 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 general 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/wshobson-agents__quantized-export && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__quantized-export.md -o .claude/skills/wshobson-agents__quantized-export/SKILL.md
```

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

## Content

```
---
name: quantized-export
description: Export a promoted fine-tuned model in the right deployment format - merged safetensors, LoRA-only, GGUF with imatrix, or FP8. Use after a checkpoint passes promotion, when choosing a quantization format for a target device, or when an exported model fails its smoke test.
---

# Quantized Export

The last stop after `checkpoint-promotion`
hands off a `PROMOTE` verdict: a checkpoint
that cleared the four-stage gate still isn't
deployed until it's exported in the right
format for its target runtime and proven to
still work post-export. A `REJECT` verdict
ne

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

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__wshobson-agents__quantized-export