Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released2023
Opennessproprietary
Runs onnot in the notes
Statusnot in the notes
Benchmark Results
vendor-reported
MedQAdomain
vendor-reported
86.5
050100
Score in %. Higher is better.
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).
Lineage
product ofsuccessor
AMIE is a child (successor)low confidencenotesWhere 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, 3 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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- not in the notes
- Output
- not in the notes
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
- proprietary
- Licence
- Proprietary 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.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelMed-PaLM 2Google, LLM
Med-PaLM 2Google, LLMR&D TopicsDomain Adaptation (Vertical Models)
Use CasesClinical LLM (Open Weights)HealthcareClinical LLM (Frontier Proprietary)HealthcareRadiology Report GenerationHealthcarePharma Documents, Regulatory and Life-Science R&DHealthcare+10 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study. blog.google https://blog.google/innovation-and-ai/models-and-research/google-research/amie-video-consultations/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Med-PaLM 2", https://aurion.semai.id/models/google-med-palm-2/, records of October 2026.