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> **Built with mlx-optiq**, the MLX-native toolkit to quantize, fine-tune, and serve LLMs locally on Apple Silicon, no PyTorch and no cloud. Try the Lab · All OptiQ quants · Docs A 4-bit mixed-precision MLX quant of XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B, a distillation of the Qwen3.5 9B architecture. Sensitive layers are kept at 8-bit and robust ones at 4-bit, rather than crushing everything to a uniform width. Honestly stated, because it differs from most OptiQ quants: **the per-layer allocation was not measured on this model.** It was transferred from mlx-community/Qwen3.5-9B-OptiQ-4bit, whose allocation came from a KL-divergence sensitivity pass over a six-domain calibration mix (prose, reasoning, code, agent, tool-call, instructions).

Text generation
Input Text→ Output Text
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MiniCPM-o-4_5-4bit

mlx-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Category pending
Input Not verified→ Output Not verified
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MiniCPM-V-4.6-4bit

mlx-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Visual QA
Input Text · Image→ Output Text
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Visual QA
Input Text · Image→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
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Source / docs ↗

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Visual QA
Input Text · Image→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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