Project AURIONAI Use-Cases Research & Innovation
Google
LLM

RecurrentGemma 9B

RecurrentGemma 9B, a checkpoint of the RecurrentGemma family. Open models on the Griffin architecture, which mixes linear recurrence with local attention so memory stays fixed on long sequences.

Figure from the RecurrentGemma paper: throughput comparison between Gemma-7B and RecurrentGemma-9B.
Levelvariant
ClassLLM
Parameters9.63B
Contextnot in the notes
Released7 Jun 2024
Opennessopen weights restricted
Runs onnot in the notes
Statusactive

R&D Topics

Identity

Developer
Google
Family
RecurrentGemma
Released
7 Jun 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
hybrid
Total parameters
9.63B sources
Active parameters
–
Checkpoint parameters
–
Note
Parameter count from the safetensors index on Hugging Face.
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.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2404.07839 https://arxiv.org/abs/2404.07839
  2. huggingface.co/google/recurrentgemma-9b https://huggingface.co/google/recurrentgemma-9b
  3. kaggle.com/models/google/recurrentgemma https://www.kaggle.com/models/google/recurrentgemma

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "RecurrentGemma 9B", https://aurion.semai.id/models/google-recurrentgemma-9b/, records of October 2026.