Gemma 4 E2B（有效2B端侧模型）
Parameters
510M
Context length
128K
Chinese support
Not supported
Reasoning ability
Gemma 4 E2B（有效2B端侧模型） is an AI model published by DeepMind, released on 2026-04, for Multimodal model, with 510M parameters, and 128K context length, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Gemma 4 E2B
Model basics
Reasoning traces
Supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
8K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image, Audio → Text
Release date
2026-04
Model file size
No data
MoE architecture
Yes
Total params / Active params
510M / 200M
Knowledge cutoff
2025-12
Gemma 4 E2B
Open source & experience
Code license
Weights license
Apache 2.0- 免费商用授权
GitHub repo
GitHub link unavailable
Hugging Face
Live demo
Gemma 4 E2B
Official resources
Paper
No paper available
DataLearnerAI blog
Gemma 4 E2B
API details
API speed
No data
No public API pricing yet.
Gemma 4 E2B
Benchmark Results
No benchmark data to show.
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Gemma 4 E2B
Publisher
DeepMind
View publisher details Gemma 4 E2B（有效2B端侧模型）
Model Overview
Gemma 4 E2B（有效2B端侧模型） is an AI model published by DeepMind, released on 2026-04, for Multimodal model, with 510M parameters, and 128K context length, under the Apache 2.0 license.
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