If you want the fastest local installation for this model, use Docker.
Refer to the instructions below to proceed.
The client handles the setup, pulling gigabytes of data automatically.
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
The Voxtral-Mini-4B-Realtime-2602 is a compact, real-time AI model designed for low‑latency speech and audio processing. It leverages a 4‑billion parameter architecture that balances performance with efficient inference on consumer hardware. The model supports multimodal inputs, seamlessly integrating text, voice, and environmental audio for interactive applications. Its custom latency optimization pipeline ensures sub‑50 ms response times, making it ideal for live translation and conversational assistants. A comparative
| Metric | Value |
|---|---|
| Parameters | 4 B |
| Latency | <50 ms |
| Throughput | ≈200 tokens/s |
| Memory | ≈4 GB |
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