---
base_model: mistralai/Voxtral-Mini-3B-2507
library_name: mlx
license: apache-2.0
pipeline_tag: automatic-speech-recognition
tags:
  - voxtral
  - audio
  - speech
  - speech-recognition
  - transcription
  - translation
  - mlx
  - rotorquant
  - quantization
  - 2-bit
---

# Voxtral-Mini-3B-2507-RotorQuant-MLX-2bit

2-bit MLX weight-quantized build of [`mistralai/Voxtral-Mini-3B-2507`](https://huggingface.co/mistralai/Voxtral-Mini-3B-2507) with a RotorQuant KV-cache profile. Ultra-compact, best-available 2-bit stability for streaming audio on Apple Silicon.

## Overview

- **Base:** `mistralai/Voxtral-Mini-3B-2507` — 3B speech-understanding model
- **Capabilities:** transcription, speech translation, audio QA
- **Weight precision:** 2-bit (group-wise)
- **KV-cache profile:** RotorQuant (rotational online re-basis)
- **Approx. on-disk size:** ~1 GB
- **Runtime:** MLX on Apple Silicon

RotorQuant's rotational re-basis helps 2-bit builds remain stable under distributional drift — preferred over TurboQuant at this precision for streaming workloads.

## Quickstart

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("majentik/Voxtral-Mini-3B-2507-RotorQuant-MLX-2bit")

prompt = tokenizer.apply_chat_template(
    [{"role": "user", "content": [{"type": "audio", "path": "stream.wav"},
                                  {"type": "text", "text": "Transcribe."}]}],
    add_generation_prompt=True,
)
print(generate(model, tokenizer, prompt=prompt, max_tokens=256))
```

## Model specs

| Field | Value |
|---|---|
| Parameters | 3B |
| Weight bits | 2 |
| Group size | 32 |
| Cache profile | RotorQuant |
| Size on disk | ~1 GB |
| Target hardware | Apple Silicon (M1/M2/M3/M4) |
| License | Apache 2.0 |

## RotorQuant vs TurboQuant

| | RotorQuant | TurboQuant |
|---|---|---|
| Strategy | Rotational online re-basis | Per-head static calibration |
| Memory reduction | ~4x on KV-cache | ~3.5x on KV-cache |
| Best for | Streaming, code-switching | Batch transcription |

## See also

- [`majentik/Voxtral-Mini-3B-2507-RotorQuant-MLX-4bit`](https://huggingface.co/majentik/Voxtral-Mini-3B-2507-RotorQuant-MLX-4bit)
- [`majentik/Voxtral-Mini-3B-2507-RotorQuant-MLX-8bit`](https://huggingface.co/majentik/Voxtral-Mini-3B-2507-RotorQuant-MLX-8bit)
- [`majentik/Voxtral-Mini-3B-2507-TurboQuant-MLX-2bit`](https://huggingface.co/majentik/Voxtral-Mini-3B-2507-TurboQuant-MLX-2bit)
- [`majentik/Voxtral-Mini-3B-2507-RotorQuant`](https://huggingface.co/majentik/Voxtral-Mini-3B-2507-RotorQuant) — KV-cache-only bundle
- [`mistralai/Voxtral-Mini-3B-2507`](https://huggingface.co/mistralai/Voxtral-Mini-3B-2507) — upstream base model