Gemma 3型号已下载超过1亿次

Google于3月12日揭示了下一代开放模型Gemma 3，这是统治快速发展的人工智能（AI）部门的竞赛。

Google on Monday unveiled the next generation of its open model, Gemma 3, in a move to further its footprint in the rapidly-evolving artificial intelligence (AI) sector.

Google周一推出了下一代开放模型Gemma 3，以促进其在快速发展的人工智能（AI）领域的足迹。

Gemma 3, a family of lightweight open models, has been built from the same research and technology that powers its flagship Gemini 2.0 AI models, the tech giant said.

这家科技巨头说，杰玛3（Gemma 3）是一个轻巧的开放式模型，是由相同的研究和技术建造的，该研究和技术为其旗舰Gemini 2.0 AI模型提供动力。

These models are designed to run fast, directly on devices — from phones and laptops to workstations — helping developers create AI applications.

这些模型旨在直接在设备（从手机和笔记本电脑到工作站）上快速运行，以帮助开发人员创建AI应用程序。

The company claimed that Gemma 3 is the most capable model one can run on a single graphics processing unit (GPU) or tensor processing unit (TPU), outperforming Meta's Llama-405B, DeepSeek-V3 and OpenAI's o3-mini in preliminary human preference evaluations on LMArena's leaderboard.

该公司声称，Gemma 3是可以在单个图形处理单元（GPU）或张量处理单元（TPU）上运行的最有能力的模型，表现优于Meta的Llama-405B，DeepSeek-V3和OpenAI的O3-Mini，在Lmarena的“ Lmarena”排行榜上进行了预赛的人类偏好评估。

Google introduced the Gemma family of open models in February as part of its strategy to attract developers and researchers to its AI offerings and compete with Meta's Llama, which also provides open AI models.

Google在2月推出了Gemma的开放模型家族，这是其策略的一部分，旨在吸引开发人员和研究人员参加其AI产品，并与Meta的Llama竞争，Meta的Llama也提供了开放的AI模型。

The company said these models have been downloaded over 100 million times, and the developer community has created more than 60,000 Gemma variants to date.

该公司表示，这些型号已下载了超过1亿次，开发人员社区迄今为止创建了60,000多个Gemma变体。

Gemma 3 will be available in a range of sizes — 1B, 4B, 12B and 27B parameters — and offer out-of-the-box support for over 35 languages and pretrained support for over 140 languages with a 128k-token context window. It also has the ability to analyse images, text, and short videos.

Gemma 3将提供各种尺寸 - 1B，4B，12B和27B参数 - 并为超过35种语言提供现成的支持，并预估计了140多种语言，并具有128K token的上下文窗口。它还具有分析图像，文本和简短视频的能力。

Read: Google woos India’s booming AI developer community with new tools, access to latest models

阅读：Google Woos印度蓬勃发展的AI开发人员社区，使用新工具，访问最新模型

Gemma 3 integrates with developer tools such as Hugging Face Transformers, Ollama, JAX, Keras, PyTorch and others. Developers can access Gemma 3 through Google's free web-based developer tool AI Studio, or download the model from Hugging Face or Kaggle. One can request access to the Gemma 3 API through AI Studio.

Gemma 3与开发人员工具相结合，例如拥抱Face Transformers，Ollama，Jax，Keras，Pytorch等。开发人员可以通过Google的免费基于Web的开发人员工具AI Studio访问Gemma 3，或从拥抱面或Kaggle下载该模型。可以通过AI工作室要求访问Gemma 3 API。

The launch comes in the backdrop of Chinese AI lab DeepSeek claiming to have built AI models that can rival top-tier models from Google, and other US companies such as OpenAI and Meta at a fraction of the cost. The launch earlier this year caused fresh concerns among investors over the billions of dollars being poured in by tech companies to develop their AI models and products.

该发布会是在中国AI Lab DeepSeek的背景下声称建立了AI模型，可以与Google和其他美国公司（例如OpenAI和Meta）相抗衡的AI模型，而成本的一小部分。今年早些时候的发布引起了投资者的新问题，因为科技公司为开发其AI模型和产品而倾注了数十亿美元。

In February, Sundar Pichai, the CEO of Google parent firm Alphabet, however, argued that the search giant's Gemini Flash 2.0 and Flash Thinking 2.0 models are “some of the most efficient models” out there, including compared to DeepSeek's V3 and R1.

2月，Google父母Alphabet的首席执行官Sundar Pichai认为，搜索巨头的Gemini Flash 2.0和Flash Thinky 2.0型号是“一些最有效的型号”，包括与DeepSeek的V3和R1相比。

"I think part of the reason we are so excited about the AI opportunity is we know we can drive extraordinary use cases because the cost of actually using it is going to keep coming down, which will make more use cases feasible. And that's the opportunity space. It's as big as it comes. And that's why you're seeing us invest to meet that moment" Pichai said during the company's earnings conference call.

“我认为，我们对AI机会感到非常兴奋的部分原因是我们知道我们可以驾驶非凡的用例，因为实际使用它的成本将继续下降，这将使更多的用例变得可行。这就是机会空间。它和它一样大。

Alphabet plans to invest around $75 billion in capital expenditures in 2025 to bolster its AI efforts. The investment will be made towards building out technical infrastructure, primarily for servers, followed by data centers and networking.

Alphabet计划在2025年投资约750亿美元的资本支出来加强AI的努力。这项投资将用于建立技术基础设施，主要用于服务器，然后是数据中心和网络。