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LibreMolmo2o-7b
LibreYOLO/LibreMolmo2o-7b
LibreMolmo2o-7b 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-O-7B at commit 784410650d12be9bc086118fdefa32d2c3bced86 for LibreYOLO single-image pointing. Weights, tokenizer assets, configuration and remote model code are unchanged. LibreYOLO ad…
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- molmo2
- Access
- Public
- Created
- Sep 12, 2026
- Updated
- Sep 12, 2026
- SHA
- 047d61ee
Try a prompt
Base models
Model card
From the Hugging Face model README
LibreMolmo2o-7b
Snapshot mirror of allenai/Molmo2-O-7B
at commit 784410650d12be9bc086118fdefa32d2c3bced86 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.
Usage
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-o-7b", 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.
License and provenance
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.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- molmo2
- License
- apache-2.0
- Created
- Sep 12, 2026
- Updated
- Sep 12, 2026