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LibreYOLO/LibreMolmo28b
LibreMolmo28b is a image-text-to-text model from LibreYOLO. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Snapshot mirror of allenai/Molmo2-8B at commit e28fa28597e5ec5e0cca2201dd8ab33d48bc4a1b for LibreYOLO single-image pointing. Weights, tokenizer assets, configuration and remote model code are unchanged. LibreYOLO adds…
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From the Hugging Face model README
Snapshot mirror of allenai/Molmo2-8B
at commit e28fa28597e5ec5e0cca2201dd8ab33d48bc4a1b for LibreYOLO single-image pointing.
Weights, tokenizer assets, configuration and remote model code are unchanged.
LibreYOLO adds this card, LICENSE and NOTICE; the original card is preserved
in README.upstream.md.
Requires a LibreYOLO build containing the Molmo2 family. Install its dedicated
extra in a separate environment: pip install 'libreyolo[molmo2]'.
The pinned remote code requires Transformers 4.57.1.
from libreyolo import LibreVLM
model = LibreVLM("molmo2-8b", names=["boat"])
result = model.predict("image.jpg")
print(result.points.xy)
Pointing is the default and only supported prediction task. Confidence is a synthetic 1.0. Detection, training, validation, export and point tracking are not supported. Larger variants require more memory; no peak-memory or accuracy benchmark is claimed here.
Released by the Allen Institute for AI (Ai2) under Apache-2.0. See LICENSE, NOTICE, and the original upstream card. The runtime loads remote model code from a pinned snapshot.