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GUI-Owl-1.5-2B-Instruct-MLX-4bit
clinan/GUI-Owl-1.5-2B-Instruct-MLX-4bit
GUI-Owl-1.5-2B-Instruct-MLX-4bit is a machine learning model from clinan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx-vlm. The card lists the license as mit.
This repository contains an MLX-converted 4-bit version of mPLUG/GUI-Owl-1.5-2B-Instruct.
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Model card
From the Hugging Face model README
GUI-Owl-1.5-2B-Instruct-MLX-4bit
This repository contains an MLX-converted 4-bit version of mPLUG/GUI-Owl-1.5-2B-Instruct.
Source
- Original model:
mPLUG/GUI-Owl-1.5-2B-Instruct - Original architecture:
Qwen3VLForConditionalGeneration - Converted with:
mlx-vlm - Quantization:
4-bit affine
What Was Verified
This converted model was tested locally on Apple Silicon and successfully generated valid GUI action output from a Taobao shopping cart screenshot.
Example output:
Action: Click on the price section of the first item in the shopping cart.
<tool_call>
{"name": "mobile_use", "arguments": {"action": "click", "coordinate": [229, 566]}}
</tool_call>
Notes
- This is a converted derivative of the original model.
- Behavior may differ slightly from the original PyTorch checkpoint.
- The conversion was performed for local Apple Silicon inference and experimentation.
Minimal Usage
python -m mlx_vlm generate \
--model /path/to/GUI-Owl-1.5-2B-Instruct-MLX-4bit \
--image /path/to/screenshot.png \
--prompt 'Describe the next GUI action.'
- Library
- mlx-vlm
- Type
- qwen3_vl
- License
- mit
- Created
- Mar 18, 2026
- Updated
- Mar 18, 2026