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chore(card): add hardware compatibility section

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  1. README.md +18 -12
README.md CHANGED
@@ -4,24 +4,30 @@ library_name: mlx
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  license: apache-2.0
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  pipeline_tag: automatic-speech-recognition
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  tags:
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- - voxtral
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- - audio
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- - speech
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- - speech-recognition
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- - transcription
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- - translation
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- - mlx
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- - rotorquant
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- - quantization
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- - 2-bit
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- language:
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- - en
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  ---
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  # Voxtral-Mini-3B-2507-RotorQuant-MLX-2bit
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  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.
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  ## Overview
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  - **Base:** `mistralai/Voxtral-Mini-3B-2507` — 3B speech-understanding model
 
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  license: apache-2.0
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  pipeline_tag: automatic-speech-recognition
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  tags:
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+ - voxtral
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+ - audio
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+ - speech
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+ - speech-recognition
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+ - transcription
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+ - translation
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+ - mlx
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+ - rotorquant
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+ - quantization
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+ - 2-bit
 
 
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  ---
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  # Voxtral-Mini-3B-2507-RotorQuant-MLX-2bit
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  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.
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+ ## Hardware compatibility
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+
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+ | Device | VRAM / RAM | Recommendation |
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+ | --- | --- | --- |
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+ | Apple M4 Max 128 GB | ~1.3 GB | recommended — headroom for long context |
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+ | Apple M3 Max 64 GB | ~1.3 GB | comfortable |
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+ | Apple M2 Max 32 GB | ~1.2 GB | fits |
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+
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  ## Overview
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  - **Base:** `mistralai/Voxtral-Mini-3B-2507` — 3B speech-understanding model