inference: false | |
library_name: transformers | |
language: | |
- en | |
- fr | |
- de | |
- es | |
- it | |
- pt | |
license: cc-by-nc-4.0 | |
extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and | |
acknowledge that the information you provide will be collected, used, and shared | |
in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll | |
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extra_gated_fields: | |
Name: text | |
Affiliation: text | |
Country: country | |
I agree to use this model for non-commercial use ONLY: checkbox | |
pipeline_tag: image-text-to-text | |
base_model: | |
- CohereLabs/c4ai-command-a-03-2025 | |
- google/siglip2-so400m-patch16-512 | |
tags: | |
- mlx | |
# mlx-community/command-a-vision-07-2025-4bit | |
This model was converted to MLX format from [`CohereLabs/command-a-vision-07-2025`]() using mlx-vlm version **0.3.3**. | |
Refer to the [original model card](https://huggingface.co/CohereLabs/command-a-vision-07-2025) for more details on the model. | |
## Use with mlx | |
```bash | |
pip install -U mlx-vlm | |
``` | |
```bash | |
python -m mlx_vlm.generate --model mlx-community/command-a-vision-07-2025-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> | |
``` | |