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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. Discover how with gemma 3, we have tried to push many of the limits of what makes a model usable and practical. 我在这里记录了我对 Gemma 3 模型的探索： https://entron.github.io/posts/Try-Gemma3-using-Hugging-Face-Part-1/ 分享出来，希望能帮助到其他人。
Gemma 是一系列生成式人工智慧 (AI) 模型，可用於各種生成工作，包括回答問題、製作摘要和推理。 Gemma 模型提供開放權重，並允許負責任的 商業使用，讓您在自家專案和應用程式中進行調整及部署。 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在核心能力上实现了全面升级，首次引入多模态处理机制，能够无缝对接视觉与语言输入并生成精准的文本输出。 其上下文窗口容量扩展至128K tokens，这意味着模型可以一次性处理相当于300多页文档的信息量，极大提升了对长文本的理解与推理能力。
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 We provide optimized implementations and integration guides for each framework. Gemma models demonstrate strong performance across academic benchmarks for language understanding, reasoning, and safety. 本部分将帮助您了解 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，并且提供不同的参数大小，因此您可以选择具有所需功能并满足计算要求的模型。
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