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license: apache-2.0
library_name: mlx
base_model: renezander030/browserground
tags:
- mlx
- apple-silicon
- ui-grounding
- browser-agent
- qwen3-vl
pipeline_tag: image-text-to-text
---
# browserground-mlx (Apple Silicon, 4-bit)
MLX-converted 4-bit quant of [renezander030/browserground](https://huggingface.co/renezander030/browserground).
Drop in the same model you'd use via `transformers`, but ~10× faster on Apple Silicon.
## Use
```python
from mlx_vlm import load, generate
model, processor = load("renezander030/browserground-mlx")
out = generate(model, processor, image="screenshot.png", prompt="Locate: Submit button", max_tokens=64)
print(out)
```
Or via the CLI:
```bash
npm install -g browserground
IMGPARSE_MODEL=renezander030/browserground-mlx browserground parse screenshot.png --target "Submit button"
```
Numbers, training recipe, and the full positioning vs UI-TARS-2B-SFT are on the main model card: <https://huggingface.co/renezander030/browserground>.
License: Apache 2.0 (inherits from `Qwen/Qwen3-VL-2B-Instruct`).
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