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8.Google Gemma3 visual multimodal large model
Gemma3
Gemma31. Model Size2. Performance3. Using Gemma33.1 Running Gemma33.2 Start a conversation3.3 Visual Function3.4 Ending the ConversationReferences
Demo Environment
Development Board: Jetson Orin series motherboard
Note: Due to performance limitations, the Jetson Orin Nano 4GB requires the reduced-parameter version
Gemma is a family of lightweight models built by Google based on Gemini technology. The Gemma 3 model is multimodal (capable of processing text and images), has a 128KB context window, and supports over 140 languages.
1. Model Size
| Model | Size |
|---|---|
| gemma3:1b | 815MB |
| gemma3:4b | 3.3GB |
2. Performance
3. Using Gemma3
3.1 Running Gemma3
Use the run command to run the model. If the model is not already downloaded, it will automatically pull the model from the Ollama model library:
xxxxxxxxxxollama run gemma3:4b
3.2 Start a conversation
xxxxxxxxxxHow to learn a programming language?
Response time depends on hardware configuration, so please be patient!
3.3 Visual Function
xxxxxxxxxxWhat do you see in this picture? :./test_pic.png#Using ": + the image path" in the conversation allows the model to use its visual function and interpret the information in the image.
3.4 Ending the Conversation
Use the Ctrl+d shortcut or /bye to end the conversation!
References
Ollama
Official Website: https://ollama.com/
GitHub: https://github.com/ollama/ollama
Gemma3
Ollama Compatible Model: https://ollama.com/library/gemma3