Image-Text-to-Text
MLX
Safetensors
English
molmo_point
multimodal
olmo
molmo
molmo2
conversational
custom_code
4-bit precision
Instructions to use mlx-community/MolmoPoint-8B-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MolmoPoint-8B-nvfp4 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/MolmoPoint-8B-nvfp4") config = load_config("mlx-community/MolmoPoint-8B-nvfp4") # 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
| license: apache-2.0 | |
| language: | |
| - en | |
| base_model: | |
| - Qwen/Qwen3-8B | |
| - google/siglip-so400m-patch14-384 | |
| pipeline_tag: image-text-to-text | |
| tags: | |
| - multimodal | |
| - olmo | |
| - molmo | |
| - molmo2 | |
| - molmo_point | |
| - mlx | |
| # mlx-community/MolmoPoint-8B-nvfp4 | |
| This model was converted to MLX format from [`allenai/MolmoPoint-8B`]() using mlx-vlm version **0.4.1**. | |
| Refer to the [original model card](https://huggingface.co/allenai/MolmoPoint-8B) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install -U mlx-vlm | |
| ``` | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/MolmoPoint-8B-nvfp4 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> | |
| ``` | |