multimodal LLM
Molmo2-8B
Ai2 vision-language model for image, multi-image and video understanding with pointing, tracking and grounded video QA.
Levelmodel
Classmultimodal LLM
Parameters8.66B
Contextnot in the notes
Released11 Dec 2025
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Lineage
finetunecontinued pretrain
Qwen3-8B is the parent (finetune)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 4 models. Confidence and evidence are the notes' own.
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer Qwen3-8B language model with SigLIP 2 vision encoder
- Total parameters
- 8.66B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Named 8B; Hugging Face lists 9B; Artificial Analysis gives 8.66B
- Context length
- not in the notes
- Input
- text, image, video
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperAllen AIcompany, USA
Allen AIcompany, USAModelMolmo2-8BAllen AI, multimodal LLM
Molmo2-8BAllen AI, multimodal LLMUse CasesClinical LLM (Frontier Proprietary)HealthcareRobot Inspection with Instrument ReadingIndustrialPathology Whole-Slide ImagingHealthcareUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026Novo NordiskIn production, 11 Jan 2026+13 moreDeployments of these use cases; none names this model.
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026Novo NordiskIn production, 11 Jan 2026+13 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- huggingface.co/allenai/Molmo2-8B https://huggingface.co/allenai/Molmo2-8B
- allenai.org/blog/molmo2 https://allenai.org/blog/molmo2
- artificialanalysis.ai/models/molmo2-8b https://artificialanalysis.ai/models/molmo2-8b
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Molmo2-8B", https://aurion.semai.id/models/allen-ai-molmo2-8b/, records of October 2026.