GE
Parameters
7B
Context length
2K
Chinese support
Supported
Reasoning ability
Gemma 7B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 7B parameters, and 2K context length, requiring about 14GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Gemma 7B
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2024-02-21
Model file size
14GB
MoE architecture
No
Total params / Active params
7B / N/A
Knowledge cutoff
No data
Gemma 7B
Open source & experience
Code license
Weights license
Gemma Terms of Use- Commercial use permitted
GitHub repo
GitHub link unavailable
Hugging Face
Gemma 7B
Official resources
Paper
DataLearnerAI blog
No blog post yet
Gemma 7B
API details
API speed
No data
No public API pricing yet.
Gemma 7B
Benchmark Results
No benchmark data to show.
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Gemma 7B
Publisher
Google Research
View publisher details Gemma 7B
Model Overview
Gemma 7B is an AI model published by Google Research, released on 2024-02-21, for Foundation model, with 7B parameters, and 2K context length, requiring about 14GB storage.
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