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README.md

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+---
+license: apache-2.0
+base_model: mistralai/Voxtral-Mini-4B-Realtime-2602
+tags:
+  - mlx
+  - safetensors
+  - voxtral
+  - realtime
+  - mxfp4
+  - mixed-precision
+  - apple-silicon
+  - speech-to-text
+language:
+  - fr
+  - en
+  - de
+  - es
+  - it
+  - pt
+  - nl
+  - pl
+  - ru
+  - uk
+  - ja
+  - ko
+  - zh
+  - ar
+  - hi
+library_name: mlx
+pipeline_tag: automatic-speech-recognition
+---
+
+# Voxtral Mini 4B Realtime 2602 — MLX
+
+MLX quantized weights for [Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) on Apple Silicon.
+
+## Architecture
+
+Voxtral Realtime differs from the standard Voxtral Mini 3B. It uses **additive fusion** (audio embeddings + token embeddings) instead of sequence concatenation, and a **causal transformer encoder** with sliding window attention (window=750) instead of a bidirectional Whisper-style encoder. This makes it suitable for streaming / low-latency inference.
+
+## Variants
+
+| Folder | Quantization | Description |
+|--------|-------------|-------------|
+| `mlx-mxfp4-mixed/` | **MXFP4 mixed precision** | Text decoder: MXFP4 4-bit (group_size=32). Audio encoder/projector: 8-bit affine (group_size=64). Embeddings: full precision. |
+
+## License
+
+This model is distributed under the **Apache 2.0** license, following the upstream [Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) license.
+
+## Requirements
+
+- Apple Silicon (M1+, M5+ recommended for native MXFP4)
+- MLX >= 0.30.0
+- Python 3.11+
+
+## Source
+
+Converted from [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) using [oriloq-mlx](https://github.com/oriloq-s/oriloq-mlx).