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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 3 is designed to work seamlessly with popular ml frameworks including pytorch, tensorflow, and jax We provide optimized implementations and integration guides for each framework. 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。 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。

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 #

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