Video-Text-to-Text
Transformers
Safetensors
MLX
English
molmo2
image-text-to-text
multimodal
olmo
molmo
custom_code
4-bit precision
Instructions to use mlx-community/Molmo2-8B-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/Molmo2-8B-4bit with Transformers:
# Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("mlx-community/Molmo2-8B-4bit", trust_remote_code=True, dtype="auto") - MLX
How to use mlx-community/Molmo2-8B-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Molmo2-8B-4bit mlx-community/Molmo2-8B-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio