Google Releases Gemma 3 Open Model Family
Google has released Gemma 3, a family of open models available in 1B, 4B, 12B, and 27B parameter sizes. The models offer best-in-class performance at each size, with the 27B model rivaling Llama 3.1 70B on key benchmarks.
Google has released Gemma 3, the third generation of its open model family, in four sizes: 1B, 4B, 12B, and 27B parameters. Each model achieves state-of-the-art performance for its parameter class, making Gemma 3 the most efficient open model family available.
The 27B parameter model is the standout, rivaling Meta's Llama 3.1 70B on MMLU and HumanEval while requiring less than half the compute to run. This efficiency comes from architectural innovations developed by the Gemini team and transferred to the smaller Gemma models.
All Gemma 3 models support multimodal input, processing both text and images. Even the 1B model can understand and describe images with reasonable accuracy, making it suitable for on-device applications where multimodal understanding is needed but compute is constrained.
The 1B and 4B models are specifically optimized for mobile and edge deployment, running efficiently on smartphone NPUs and edge devices. Google has partnered with MediaTek and Qualcomm to ensure optimized performance on their respective mobile and IoT chipsets.
Gemma 3 is released under Google's permissive Gemma license, which allows commercial use and modification. The models are available on Hugging Face, Kaggle, and Google AI Studio, with optimized versions for popular inference frameworks including Ollama, llama.cpp, and vLLM.
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