Google has launched Gemma 3 270M, a compact 270-million-parameter AI model designed for efficient, task-specific fine-tuning ...

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

According to Google, Gemma 3 270M has a large vocabulary of 256k tokens (small pieces of information used for authentication and authorization), allowing it to handle specific and rare tokens. It also ...

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

Google has announced Gemma 3 270M, a compact 270-million parameter model intended for task-specific fine-tuning and efficient ...

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

Google introduces Gemma 3 270M, a new compact AI model with 270 million parameters that companies can fine-tune for specific tasks. The model promises ...

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.

A tiny model trained on trillions of tokens, ready for specialized tasks Google has unveiled a pint-sized new addition to its ...

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, 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.

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.