
If you want the fastest local installation for this model, use Docker.
Refer to the instructions below to proceed.
The installer will automatically analyze your hardware and select the optimal configuration for your system.
📊 File Hash: 9125e8dd932dd62adabedc76a3c8f3dd — Last update: 2026-06-23
- Processor: 6-core 3.5 GHz minimum required
- RAM: high-speed DDR5 memory preferred for CPU offloading
- Disk Space: 80 GB NVMe SSD required for fast model weights loading
- Graphics: 12 GB VRAM minimum required for basic quantization
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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
can illustrate how its throughput and memory footprint stack up against competing real‑time models.
| Metric |
Value |
| Parameters |
4 B |
| Latency |
<50 ms |
| Throughput |
≈200 tokens/s |
| Memory |
≈4 GB |
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