multimodal LLM
video-SALMONN 2+ 72B
Tsinghua and ByteDance video-understanding model top on Video-MME with subtitles.
Levelmodel
Classmultimodal LLM
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
maintainer-run
Video-MMEmultimodal
With subtitlesmaintainer-run
81.6
050100
Score in %. Higher is better.
rank 1, Video-MME leaderboard
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
Identity
- Developer
- Tsinghua University, ByteDance
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 Oct 2026
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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- 72B
- Context length
- not in the notes
- Input
- video, audio, text
- 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
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
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.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Modelvideo-SALMONN 2+ 72BTsinghua University, multimodal LLM
video-SALMONN 2+ 72BTsinghua University, multimodal LLMR&D TopicsVideo Understanding with Language Models
Use CasesClinical LLM (Frontier Proprietary)HealthcareUse 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.Sources
- Video-MME video-mme.github.io https://video-mme.github.io/home_page.html
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Video-SALMONN 2+ 72B", https://aurion.semai.id/models/tsinghua-university-video-salmonn-2-plus-72b/, records of October 2026.