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Explore the development of intelligent agents using gemma models, with core components that facilitate agent creation, including capabilities for function calling, planning, and reasoning. Gemma # Gemma 是 Google DeepMind 基于 Gemini 研究和技术而开发的开源权重大型语言模型 (LLM) 系列。 此仓库包含 gemma PyPI 包的实现。 一个用于使用和微调 Gemma 的 JAX 库。 有关示例和用例，请参阅我们的 文档。 请在 我们的 GitHub 中报告问题和反馈。 安装 # Gemma 3 is designed to work seamlessly with popular ml frameworks including pytorch, tensorflow, and jax

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We provide optimized implementations and integration guides for each framework. Gemma 3 是基于Google最新Gemma模型打造的智能AI助手，能够理解和回应自然语言。 它通过深度学习技术分析您的输入，提供精准、相关的回应和建议，帮助您更高效地完成各种任务。 本部分可帮助您了解 Gemma 模型系列的官方变体，并为您的应用选择合适的模型。 模型变体提供通用功能或专门用于特定任务，并且以不同的参数大小提供，以便您选择具有首选功能且符合计算要求的模型。

Gemma 3 has a large, 128k context window, multilingual support in over 140 languages, and is available in more sizes than previous versions

Gemma 是先进的轻量级开放模型系列，采用了与创建 Gemini 模型相同的研究和技术。 受到 Gemini 的启发，Google DeepMind 和 Google 其他团队合作开发了 Gemma，并用拉丁语中意为“宝石”的gemma为其命名。 Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. Gemma 是一组轻量级生成式人工智能 (AI) 开放模型。 Gemma 模型可以在应用以及硬件、移动设备或托管服务上运行。 您还可以使用调优技术自定义这些模型，使其善于执行您和您用户的重要任务。 Gemma 模型基于 Gemini 模型，旨在供 AI 开发社区进行扩展和改进。