Gemma 3 1B
Google's efficient 1 billion parameter model balancing capability and resource usage
Serve the model
Pick your Jetson, then copy the command and paste it into a terminal on the Jetson. New to Jetson? Setup guide
One-shot inference
Choose a Jetson module, adjust optional parameters, then copy the command to run a single inference on the device.
Command
·Shell
No snippet for this module and type in model data.
Model Details
View on HuggingFace
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 1B (gemma-3-1b-it) is listed here as a text model: it does not provide vision-language / image input support in this catalog. Larger Gemma 3 checkpoints may offer multimodal capabilities separately. Gemma 3 has a large context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. This size is well-suited to text tasks such as question answering, summarization, and reasoning on resource-constrained Jetson devices.
Inputs and outputs
Input:
- Text string, such as a question, a prompt, or a document to be summarized
- Total input context of 32K tokens for the 1B size
Output:
- Generated text in response to the input, such as an answer to a question or a summary of a document
- Total output context of 8192 tokens