title

Writes a title and a one or two sentence description for a passage of text, on device.

Fine-tuned on transcript clips, but the task it learned is general: it takes prose and returns a card for it. 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.

See THIRD_PARTY_NOTICES.md.

License

Desert Ant Labs Source-Available License. Free for most apps; a commercial license is required at scale. Full terms are at the link. Licensing: licensing@desertant.com.

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