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DataBubble·

Model Detail

mistralai logo

Voxtral-Mini-4B-Realtime-2602

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Provider: MistralCategory: audioPipeline: automatic-speech-recognitionParameters: 4B
DB Score
37.0
Downloads
2.0M
Likes
913
Day
+0.0%
Week
-3.3%
Month
+0.0%
Overview

Voxtral-Mini-4B-Realtime-2602 is an audio model with 4B parameters released by Mistral. The model is registered under the automatic-speech-recognition pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Voxtral-Mini-4B-Realtime-2602 ships with 4B parameters. Total weight footprint is approximately 4.4 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of Voxtral-Mini-4B-Realtime-2602 have moved -3.3% over the trailing seven days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Voxtral-Mini-4B-Realtime-2602 is best fit for speech recognition, transcription, or speech synthesis depending on the task head. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2602.11298→
Model Info
Licenseapache-2.0
Citations3 (1 influential)
Recent newsView all news →
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arxiv105d ago

Voxtral Realtime

arXiv:2602.11298v3 Announce Type: replace Abstract: We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline transcription quality at sub-second latency. Unlike approaches that adapt offline models through chunking or sliding windows, Voxtral Realti

arxiv105d ago

Voxtral TTS

arXiv:2603.25551v2 Announce Type: replace Abstract: We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid architecture that combines auto-regressive generation of semantic sp

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