Object Detection
Safetensors
MLX
ax-doclayout-mlx
document-layout
apple-silicon
metal
axq
mxfp8
mixed-precision
Instructions to use AutomatosX/AXDocLayout-M-v1.2-MLX-AXQ-MXFP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AutomatosX/AXDocLayout-M-v1.2-MLX-AXQ-MXFP8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download AutomatosX/AXDocLayout-M-v1.2-MLX-AXQ-MXFP8 --local-dir AXDocLayout-M-v1.2-MLX-AXQ-MXFP8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
Today
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Keep internal evaluation details private in model card
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2 days ago
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Update parent model link to canonical CUDA TF32 repository name
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Add measured MLX API latency and clarify validation scope
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Document immutable source installation and MLX page inference
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Add model-specific MLX inference source pinned to verified artifacts
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Add verified MLX AXQ mixed-MXFP8 model and development results
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initial commit
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