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JasonIr/typurr-sketch-0.8b
typurr-sketch-0.8b is a text generation model from JasonIr. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
The model that cleans your speech while you're still talking.
Downloads · 30 days
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11% of all-time downloads
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From the Hugging Face model README
The model that cleans your speech while you're still talking.
Typurr feeds it clauses from a streaming recognizer as you speak; it strips fillers, resolves self-corrections, punctuates, capitalizes, and formats spoken numbers — so the finished text exists before you release the key.
| in (spoken) | out |
|---|---|
| "um so basically can you send me the uh the report" | "Can you send me the report" |
| "it costs ten dollars, uh, per seat and dana no wait marcus should get the invoice" | "It costs $10 per seat and Marcus should get the invoice." |
| metric (held-out dictation) | base Qwen3.5-0.8B | this model |
|---|---|---|
| exact match | 0.0% | 90.7% |
| filler leaks | 63% | 0% |
| content lost | 2.7% | 0% |
~150 ms per clause on a laptop GPU (q8_0, llama.cpp). Trained on 58.8k synthetic (mangled-speech → clean-text) pairs from Typurr's data engine.
Coupling note: tuned to Typurr's exact system prompt
(prompts.rs::SKETCH_RULES); with other prompts it still works, worse.
Inside Typurr it runs behind a fidelity audit — outputs that invent names or
numbers are caught and redone by a larger model.

A Windows dictation app and voice assistant that runs entirely on your own hardware: hold a hotkey, talk, release — finished text lands at your cursor in any app. No account, no telemetry, no audio in anyone's cloud.
Get it: typurr.com ·
GitHub ·
scoop install https://raw.githubusercontent.com/typurrapp/typurr/main/typurr.json