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speakoflow-mini

SpeakoFlow

Dictation cleanup for transcribed speech. It applies the correction the speaker actually made, and leaves everything else exactly as you said it. 833 MB at Q8_0, 2,509 ms median on a desktop CPU. Fine-tuned from `Qwen/Qwen3.5-0.8B` with LoRA rank 16, merged, then quantised. English. Not a chat model, not a rewriter. **Stage one is deterministic.** Filler words, repeated words, spacing, punctuation, capitalisation, numbers, dates, currency and known jargon substitutions are pattern work, and pattern work belongs in code, where it is fast, free and auditable. That layer is published on its own as dictation-cleanup-rules: MIT, Python and TypeScript, with a spec, pattern tables and a conformance suite. Use it with or without this model.

Text generation

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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speakoflow-mini

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