Gemma 3 1B IT
Gemma 3 1B is the smallest of the four Gemma 3 sizes Google DeepMind launched in March 2025: a 1-billion-parameter, text-only, instruction-tuned LLM with a 32K-token context window, trained on 2 trillion tokens and released as open weights under the Gemma Terms of Use for phones, laptops and your own cloud.
Model
Gemma 3 1B is a dense decoder-only transformer with roughly 1.0 billion parameters, 302M of them in embeddings and 698M non-embedding, trained by knowledge distillation on 2 trillion tokens. Unlike its 4B, 12B and 27B siblings it has no vision encoder and accepts text only, with a 32K-token input context and up to 8,192 output tokens. It uses Gemma 3's 5:1 interleaving of local sliding-window and global attention layers, grouped-query attention with QK-norm, and a 262K-entry tokenizer shared with Gemini 2.0. Pretraining data spans more than 140 languages, and the family supports function calling and structured output for agentic workflows.
This is the instruction-tuned variant, post-trained with Google's Gemma 3 recipe that improves math, chat, instruction following and multilingual ability over the pretrained checkpoint. The weights are released under the Gemma Terms of Use rather than a standard open-source license, and the Hugging Face repository requires accepting those terms before download. Full details are in Google's announcement and the model card.
Dedicated Endpoint
DocsA Dedicated Endpoint is your own deployment of Gemma 3 1B IT, on an inference stack that Modal tunes and autoscales. Bring fine-tuned weights if you have them. Compute is billed by the second, and only while it runs.
modal endpoint create --model google/gemma-3-1b-it