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  • Gemma - Google DeepMind
    Hear how the Gemma research team unveil the architecture, design principles, and innovations behind Google's family of lightweight, state-of-the-art open models Watch A truly multilingual Gemma 3 Building multilingual AI applications is crucial for reaching global audiences, and varied language proficiency remains a top developer priority
  • GitHub - google-deepmind gemma: Gemma open-weight LLM library, from . . .
    Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology This repository contains the implementation of the gemma PyPI package A JAX library to use and fine-tune Gemma For examples and use cases, see our documentation Please report issues and feedback in our GitHub
  • Welcome Gemma - Google’s new open LLM - Hugging Face
    An update to the Gemma models was released two months after this post, see the latest versions in this collection Gemma, a new family of state-of-the-art open LLMs, was released today by Google! It's great to see Google reinforcing its commitment to open-source AI, and we’re excited to fully support the launch with comprehensive integration
  • Gemma 3: Google’s new open model based on Gemini 2. 0 - The Keyword
    Gemma 3 is a collection of lightweight, state-of-the-art open models designed to run on devices Gemma 3 outperforms other models in its size class, making it ideal for single-GPU or TPU applications Gemma 3 supports over 140 languages and offers advanced text and visual reasoning capabilities
  • Get started with Gemma models | Google AI for Developers
    You can quickly test Gemma without setting up a development environment using Google AI Studio This web application lets you try out prompts with Gemma and evaluate its capabilities To try Gemma 3 in Google AI Studio: Open AI Studio In the Run settings panel on the right side, in the Model field, select a different size Gemma model
  • Gemma: Open Models Based on Gemini Research and Technology
    This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety We release two sizes of models (2 billion and 7 billion parameters), and provide both pretrained and fine-tuned checkpoints
  • Gemma 3 Technical Report
    2025-03-12 Gemma3TechnicalReport GemmaTeam,GoogleDeepMind1 WeintroduceGemma3,amultimodaladditiontotheGemmafamilyoflightweightopenmodels,ranging
  • Install and Run Gemma 3n Locally: A Complete Guide
    Gemma 3n is a cutting-edge, privacy-first AI model designed to run efficiently on local devices It brings advanced multimodal capabilities—including text, audio, image, and video understanding—directly to your desktop or server This guide provides a comprehensive step-by-step walkthrough for installing and running Gemma 3n locally using the Ollama platform for streamlined deployment and
  • Welcome Gemma 3: Googles all new multimodal, multilingual, long . . .
    What is Gemma 3? Gemma 3 is Google's latest iteration of open weight LLMs It comes in four sizes, 1 billion, 4 billion, 12 billion, and 27 billion parameters with base (pre-trained) and instruction-tuned versions Gemma 3 goes multimodal!The 4, 12, and 27 billion parameter models can process both images and text, while the 1B variant is text only The input context window length has been
  • gemma3
    Gemma is a lightweight, family of models from Google built on Gemini technology The Gemma 3 models are multimodal—processing text and images—and feature a 128K context window with support for over 140 languages Available in 1B, 4B, 12B, and 27B parameter sizes, they excel in tasks like question answering, summarization, and reasoning





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