Google DeepMind Staff AI Developer Relations Engineer Omar Sanseviero said in a post on X that Gemma 3 270M is open-source ...

For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.

Google released its first Gemma 3 open models earlier this year, featuring between 1 billion and 27 billion parameters. In ...

Investing.com -- Google has introduced Gemma 3 270M, a compact AI model designed specifically for task-specific fine-tuning with built-in instruction-following capabilities.

Google Gemma 3 is part of an industry trend where companies are working on Large Language Models (Gemini, in Google’s case) and simultaneously pushing out small language models (SLMs), as well.

Gemma 3 is available in four sizes: 1B, 4B, 12B, and 27B. It offers a context window of 128K tokens, an upgrade from Gemma 2's 80K window.

Google claims that Gemma 3 is the "world's best single-accelerator model," outperforming competitors such as Facebook's Llama and OpenAI when running on a host with a single GPU. It is optimized ...

The latest Gemma model is aimed primarily at developers who need to create AI to run in various environments, be it a data center or a smartphone. And you can tinker with Gemma 3 right now.

Gemma 3, which has the same processing power as larger Gemini 2.0 models, remains best used by smaller devices like phones and laptops. The new model has four sizes: 1B, 4B, 12B and 27B parameters.

Gemma 3 1B can run on either the CPU or the GPU of a mobile device with at least 4GB of memory for best performance. The model is available for download from HuggingFace under Google's usage license.

Is available in four sizes: 1B, 4B, 12B, and 27B. Gemma 3 supports many of the most popular development tools including Gemma JAX Library, Gemma.cpp, llama.cpp, Ollama, and Hugging Face Transformers.