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gemma-3


Introduction:

Gemma 3 is a lightweight open-source model series developed by Google based on Gemini 2.0. It can run on a single GPU or TPU and has powerful performance.









gemma-3

Gemma 3 is the latest generation of open-source model series developed by Google based on Gemini 2.0 technology, aiming to provide high performance and ease of use, especially suitable for running on a single GPU or TPU. Its main features include:

  • Excellent Performance: Outstanding among models of the same scale, surpassing models like Llama-405B and DeepSeek-V3.
  • Multilingual Support: Supports over 140 languages, serving users worldwide.
  • Advanced Reasoning Ability: Possesses powerful text and visual reasoning capabilities, capable of handling images, text, and short videos.
  • Extra-Large Context Window: Has a context window of 128k tokens, able to process large amounts of information.
  • Function Call Support: Supports function calls and structured output, facilitating automated tasks and building intelligent agents.
  • Quantized Models: Provides quantized versions, reducing model size and computational requirements, improving performance.
  • Security Features: Undergone rigorous security testing, and launched ShieldGemma 2 as an image safety detector to identify dangerous content.
  • Easy Integration: Can seamlessly integrate with commonly used tools such as Hugging Face Transformers, Ollama, JAX, Keras, PyTorch, etc.
  • Multiple Deployment Methods: Supports various deployment platforms such as Vertex AI, Cloud Run, Google GenAI API, local environments, etc.

In summary, Gemma 3 is a series of powerful, easy-to-use, and secure open-source models, designed to help developers build AI applications on various devices.