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 Nano

SD (TF) Card: 64GB


Recommended for models with 4B parameters or less

Gemma is a family of lightweight models built by Google based on Gemini technology. Gemma 3 models are multimodal (capable of processing text and images), have a 128K context window, and support over 140 languages.

Model Storage Location


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/usr/share/ollama/.ollama/models

1. Model Size

Model	Volume
gemma3:1b	815MB
gemma3:4b	3.3GB

2. Performance

Chatbot Arena ELO Score

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:


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ollama run gemma3:1b

3.2 Start a conversation


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How to learn a programming language?

Response time depends on hardware configuration, so please be patient!

3.3 Visual Function


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What do you see in this picture? :./test_pic.png
#Use ": + image path" in the conversation to enable 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