Levelmodel
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released12 Mar 2025
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
maintainer-run
SEA-HELMSoutheast Asian and Indonesian
Checkpoint gemma-3-27b-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
70.41 95% CI [-1.47, +1.49]
04080
Score in score. Higher is better.
SEA-HELM leaderboard, 58 models, Indonesian (ID)
Checkpoint gemma-3-27b-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
64.54 95% CI [-0.74, +0.72]
04080
Score in score. Higher is better.
SEA-HELM leaderboard, 58 models, SEA average
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
instruct offinetune
Gemma-SEA-LION-v4-27B is a child (finetune)high confidenceHugging Face base_modelWhere 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
- –
- Note
- HF model tree 2026-10-10: 452 finetunes, 278 adapters, 145 quantizations, 5 merges
- Context length
- not in the notes
- Input
- 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.
Industry Use Cases
No industry use case links this model.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelgemma-3-27b-itGoogle, LLM
gemma-3-27b-itGoogle, LLMUse CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- meta-llama/Llama-3.1-8B-Instruct , Hugging Face huggingface.co https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
- huggingface.co/api/models/aisingapore/Gemma-SEA-LION-v4-27B https://huggingface.co/api/models/aisingapore/Gemma-SEA-LION-v4-27B
- blog.google/technology/developers/gemma-3 https://blog.google/technology/developers/gemma-3/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemma-3-27b-It", https://aurion.semai.id/models/google-gemma-3-27b-it/, records of October 2026.