Title
Suggest a title and description for any text.
On-device titles and descriptions: a short factual title and a one- to two-sentence description for any passage of text.
- SDKs, install and examples: https://github.com/Desert-Ant-Labs/desert-ant-core/blob/main/docs/models/title.md
| Platforms | iOS, macOS, tvOS, visionOS |
| Weights | v0.1.0 |
Install
Swift (requirements)
.package(url: "https://github.com/Desert-Ant-Labs/desert-ant-core.git", from: "3.6.0",
traits: ["MLX"])
Then add the Title product to your target. The MLX trait is required: without it the module compiles as a stub.
Get a title and a one or two sentence description for any passage of text, on device.
Fine-tuned on transcript clips, but it works on any prose. The register is deliberately plain, with no emoji, no hashtags and no clickbait, and a description is meant to identify this passage rather than its topic.
Files
An MLX model directory. Load the folder, not a single file.
| File | Contents |
|---|---|
model.safetensors | 6-bit quantized weights |
model.safetensors.index.json | shard index; present even for one shard, because the loader reads it |
config.json | architecture and quantization config |
generation_config.json | decode defaults |
tokenizer.json, tokenizer_config.json | byte-level BPE with merges |
chat_template.jinja | the chat template the fine-tune was trained against |
The chat template is not incidental. A different template is a different task to this model.
The prompt
The model was fine-tuned against one specific instruction, and a paraphrase is a different
task to it. It lives in Titles.prompt in the SDK; use that wording. The reply is two labelled
lines:
TITLE: <3-8 words, no final punctuation>
DESC: <1-2 sentences>
Parse tolerantly. A card model that drifts off format should degrade to a usable title rather than throw.
Apple only
MLX runs on Apple silicon and nowhere else, so there is no Android, Linux or Windows artifact here and no manifest promising one. A Core ML export exists in the training repository and is kept as evidence rather than as a candidate: on short autoregressive decode the Neural Engine is bandwidth-bound, and the Core ML arm lost on first token, throughput, load time and resident memory.
Status
Internal testing, and less settled than that phrase usually implies. This card carries no quality figures: no independent review has been completed, and a known open issue is that the model sometimes opens a description with a stock phrase its own instruction forbids. Treat the output as needing a read before it reaches a user.
Built on
ibm-granite/granite-4.0-350m, the base model this is fine-tuned from.
License
Desert Ant Labs Source-Available License. Free for most apps, and a commercial license is required at scale. Full terms are at the link. Licensing: licensing@desertant.com.
Citation
@software{title_2026,
title = {Title: On-device titles and descriptions: a short factual title and a one- to two-sentence description for any passage of text},
author = {Desert Ant Labs},
year = {2026},
url = {https://huggingface.co/desert-ant-labs/title},
}
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