Project AURIONAI Use-Cases Research & Innovation
LLM

Gemma-3-4B-it

Gemma 3 instruct model; widely used base on Hugging Face.

Google
Levelmodel
ClassLLM
Parameters4B
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-3-4b-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
57.71 95% CI [-1.76, +1.67]
04080

Score in score. Higher is better.

SEA-HELM leaderboard, 58 models, Indonesian (ID)18 Sep 2026 leaderboard.sea-lion.ai
Checkpoint gemma-3-4b-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
47.84 95% CI [-0.75, +0.74]
04080

Score in score. Higher is better.

SEA-HELM leaderboard, 58 models, SEA average18 Sep 2026 leaderboard.sea-lion.ai
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

finetune
NVIDIANemotron 3.5 Content Safety is a child (finetune)high confidencemodel card
Where 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, 2 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Google
Family
Gemma 3
Released
12 Mar 2025 sourcesannouncement page
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
4B sources
Active parameters
–
Checkpoint parameters
–
Note
HF model tree 2026-10-10: 807 finetunes, 498 adapters, 490 quantizations, 3 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
Gemma Terms of Use 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.

Sources

  1. nvidia/Nemotron-3.5-Content-Safety , Hugging Face huggingface.co https://huggingface.co/nvidia/Nemotron-3.5-Content-Safety
  2. meta-llama/Llama-3.1-8B-Instruct , Hugging Face huggingface.co https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
  3. huggingface.co/api/models/aisingapore/Gemma-SEA-LION-v4-27B https://huggingface.co/api/models/aisingapore/Gemma-SEA-LION-v4-27B
  4. 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-3-4B-It", https://aurion.semai.id/models/google-gemma-3-4b-it/, records of October 2026.