Voxtral Mini 3B 2507

This first-party Soniqo page documents Voxtral Mini 3B 2507 from the local speech-swift / speech-core implementation. Hugging Face bundles are linked below after the integration notes.

Internal Page First

Landing cards and docs menus now point here first; source model and bundle links remain available from this page.

At a Glance

Model	Voxtral Mini 3B 2507
Role	High-accuracy multilingual offline speech-to-text
Backend	Native MLX on Apple Silicon
Output	Plain-text transcription
Languages	English, French, German, Spanish, Italian, Portuguese, Dutch, and Hindi
License	Apache-2.0
Status	Published FP16, INT5, and INT8 bundles; INT5 is the default
Source	Mistral Voxtral Mini 3B 2507
Swift product	`VoxtralASR`
CLI / runtime	`speech transcribe --engine voxtral`

Use

The snippet below mirrors the current speech-swift API or command exposed by the repo.

# INT5 is the default.
speech transcribe recording.wav --engine voxtral

# Select another published precision and pass a language hint.
speech transcribe recording.wav --engine voxtral --model int8 --language fr

Model Links

Implementation Notes

The audio frontend resamples mono Float32 PCM to 16 kHz and packs up to 30 seconds of audio per request.
INT5 is the default: on the validated English FLEURS run it used a 3.77 GiB bundle, 6,012 MiB physical footprint, and 0.0739 mean RTF.
The decoder projects only the final prompt state through the 131,072-token language-model head, reducing quantized-model RTF without changing transcripts.
MLX has no INT7 affine kernel; use INT8 as the supported higher-quality option.
This is a non-streaming engine. Benchmark results cover English read speech, not conversational or speaker-heavy audio.