---
title: Model Specs Experiment
emoji: 🧪
colorFrom: blue
colorTo: green
sdk: static
pinned: false
---

# Model Specs Experiment

> **🧪 Draft — `hf-model-spec-0.1`** · A working-draft pattern for declarative model specs as Hub artefacts. Not an official HF convention. Feedback welcome.

## What this is

A small experiment in **model specs** — short, declarative descriptions of a desired model (purpose, inputs, outputs, target quality, size budget, data) that an agent (Claude Code, ml-intern, Codex, etc.) can read and execute end-to-end. The spec describes *what model should exist*; the agent works out the *how*.

Each spec is a Hugging Face dataset repo with a `hf-model-spec-0.1` README. The format is intentionally minimal — YAML frontmatter for machine-readable fields, markdown body for the narrative that doesn't fit in YAML.

## Example specs

- [`model-specs/blbooksgenre-spec`](https://huggingface.co/datasets/model-specs/blbooksgenre-spec) — text classification (Victorian book titles → Fiction/Non-fiction)
- [`model-specs/index-card-blank-detector-spec`](https://huggingface.co/datasets/model-specs/index-card-blank-detector-spec) — image classification (archival index cards → blank/content; retro-fit of a shipped model)
- [`model-specs/smol-hub-tldr-v2-spec`](https://huggingface.co/datasets/model-specs/smol-hub-tldr-v2-spec) — generative summarisation (HF model/dataset cards → 60-token TL;DR; in-progress)

## Feedback

Open a discussion on any spec repo's Community tab. The format is fully expected to change.