Project AURIONAI Use-Cases Research & Innovation
codefamily

CodeGemma

Gemma models further trained on code: a 2B model for fast completion and infilling, and 7B pre-trained and instruction-tuned models for code generation and chat.

GoogleGoogleUSA
Google
Levelfamily
Classcode
Parametersnot in the notes
Contextnot in the notes
Released21 Mar 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive

Lineage

20242025CodeGemma 2BCodeGemma 2B, Mar 2024CodeGemma 7B, Mar 2024CodeGemma 7B IT, Mar 2024
GoogleCodeGemma 2B belongs to this familycode21 Mar 20242.51B
GoogleCodeGemma 7B belongs to this familycode21 Mar 20248.54B
GoogleCodeGemma 7B IT belongs to this familycode21 Mar 20248.54B
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Code language modelsproduced by

Identity

Developer
Google
Family
not in the notes
Released
21 Mar 2024 sourcesregistry date
Weights published
–
Record checked
12 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
dense transformer
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
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
open weights restricted
Licence
Gemma Terms of Use 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.

Sources

  1. arxiv.org/abs/2406.11409 https://arxiv.org/abs/2406.11409
  2. ai.google.dev/gemma/docs/codegemma https://ai.google.dev/gemma/docs/codegemma
  3. docs.cloud.google.com/gemini-enterprise-agent-platform/models/googl... https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/google-models
  4. kaggle.com/models/google/codegemma https://www.kaggle.com/models/google/codegemma
  5. huggingface.co/google/codegemma-2b https://huggingface.co/google/codegemma-2b
  6. huggingface.co/google/codegemma-7b https://huggingface.co/google/codegemma-7b

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "CodeGemma", https://aurion.semai.id/models/google-codegemma/, records of October 2026.