Image-Text-to-Text
MLX
Safetensors
English
qwen2_vl
mlx-vlm
apple-silicon
conversational
gui
vision-language-model
showui
gui-agents
vision-language-action
computer-use
grounding
6-bit
quantized
Instructions to use mlx-community/ShowUI-2B-6bit-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/ShowUI-2B-6bit-v2 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/ShowUI-2B-6bit-v2") config = load_config("mlx-community/ShowUI-2B-6bit-v2") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from mlx-community/ShowUI-2B-6bit-v2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/mlx-community/ShowUI-2B-6bit-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://mlx-community/ShowUI-2B-6bit-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/ShowUI-2B-6bit-v2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 664f337c546274ab57b2cb2d564f355caab2328fd9e8588a711f755ea6a67cce
- Size of remote file:
- 11.4 MB
- SHA256:
- ff8cce547abc110590d19c6b5b6e0c6a7b4c8d1012d78b9c42131bae7f494a02
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