GE
Gemma-3n-E2B
Release date: 2025-06-26Updated: 2025-06-27 08:37:57588
Parameters
2B
Context length
32K
Chinese support
Supported
Reasoning ability
Gemma-3n-E2B is an AI model published by Google Deep Mind, released on 2025-06-26, for Foundation model, with 2B parameters, and 32K context length, requiring about 10.88GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Gemma-3n-E2B
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
32K tokens
Max output length
32K tokens
Model type
Foundation model
Modality (in / out)
Text, Image, Audio → Text
Release date
2025-06-26
Model file size
10.88GB
MoE architecture
No
Total params / Active params
2B / N/A
Knowledge cutoff
No data
Gemma-3n-E2B
Open source & experience
Code license
Weights license
Gemma Terms of Use- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
Gemma-3n-E2B
Official resources
Paper
DataLearnerAI blog
No blog post yet
Gemma-3n-E2B
API details
API speed
4/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.0000/ 1M | $0.0000/ 1M |
| Image | - | $0.0000/ 1M | - |
| Audio | - | $0.0000/ 1M | - |
Gemma-3n-E2B
Benchmark Results
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Gemma-3n-E2B
Publisher
Google Deep Mind
View publisher details Gemma-3n-E2B
Model Overview
Gemma-3n-E2B is an AI model published by Google Deep Mind, released on 2025-06-26, for Foundation model, with 2B parameters, and 32K context length, requiring about 10.88GB storage.
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