GE
Gemini-Nano
Release date: 2023-12-07Updated: 2023-12-07 08:48:13.616939
Parameters
3.25B
Context length
32K
Chinese support
Supported
Reasoning ability
Gemini-Nano is an AI model published by DeepMind, released on 2023-12-07, for Multimodal model, with 3.25B parameters, and 32K context length.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Gemini-Nano
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
32K tokens
Max output length
No data
Model type
Multimodal model
Modality (in / out)
No data
Release date
2023-12-07
Model file size
No data
MoE architecture
No
Total params / Active params
3.25B / N/A
Knowledge cutoff
No data
Gemini-Nano
Open source & experience
Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Gemini-Nano
Official resources
Paper
No paper available
DataLearnerAI blog
No blog post yet
Gemini-Nano
API details
API speed
No data
No public API pricing yet.
Gemini-Nano
Benchmark Results
No benchmark data to show.
Compare with other models
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Gemini-Nano
Publisher
DeepMind
View publisher details Gemini-Nano
Model Overview
Gemini-Nano is an AI model published by DeepMind, released on 2023-12-07, for Multimodal model, with 3.25B parameters, and 32K context length.
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