Voxtral-Mini-4B-Realtime-2602
Voxtral Mini 4B Realtime 2602 is a multilingual, realtime speech-transcription model and among the first open-source solutions to achieve accuracy comparable to offline systems with a delay of <500ms. It supports 13 languages and outperforms existing open-source baselines across a range of tasks, making it ideal for applications like voice assistants and live subtitling.
Params
4.4 B
Context
—
Downloads 30d
1.5 M
Likes
1,061
Download history
daily snapshots · 106 days
▲ 507 K in the last 30 days (25.9%)
2.2 M1.4 M
Oct 12Oct 22Nov 1Nov 10
2.4 M1.4 M
Aug 13Sep 12Oct 12Nov 10
2.4 M1.4 M
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 17.7 GB | 20.7 GB | ⚠️ Tight — reduce context |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- VoxtralRealtimeForConditionalGeneration
- Parameters
- 4.4 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-01-21
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any automatic-speech-recognition model