Video-Text-to-Text
Transformers
Safetensors
MLX
English
molmo2
image-text-to-text
multimodal
olmo
molmo
custom_code
Instructions to use mlx-community/Molmo2-8B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/Molmo2-8B-fp16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("mlx-community/Molmo2-8B-fp16", trust_remote_code=True, device_map="auto") - MLX
How to use mlx-community/Molmo2-8B-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/Molmo2-8B-fp16 --local-dir Molmo2-8B-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from mlx-community/Molmo2-8B-fp16: direct link, hf CLI and curl.
- Browser
- Download file 11.5 MB
-
https://huggingface.co/mlx-community/Molmo2-8B-fp16/resolve/main/tokenizer.json
- Command line
-
hf download hf://mlx-community/Molmo2-8B-fp16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/Molmo2-8B-fp16/resolve/main/tokenizer.json
11.5 MB
- Xet hash:
- f00337c6b748ac7299a90a6e1bd2d2a4431412922830b8f4f9f406f1793db7fd
- Size of remote file:
- 11.5 MB
- SHA256:
- b98d938cf7da2f1c1180e54515b9a625dca8f097acd2ca35fff31bc1783b1304
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