Meta发布最新的开源人工智能模型Llama 4，包括两个主要版本：Scout和Maverick，均采用了创新的混合专家（MoE）架构，能够高效处理文本、图像、视频和音频等多种数据类型

Llama 4

Meta发布最新的开源人工智能模型Llama 4，包括两个主要版本：Scout和Maverick，均采用了创新的混合专家（MoE）架构，能够高效处理文本、图像、视频和音频等多种数据类型。

主要特点：

• Llama 4 Scout：

  • 参数：17亿活跃参数，总参数量为109亿。
  • 运行要求：可以在单个NVIDIA H100 GPU上运行。
  • 功能：支持多模态输入，能够处理文本和最多5张图片，具有业界领先的1000万个token的上下文窗口，适合文档总结和代码推理等任务。

• Llama 4 Maverick：

  • 参数：同样有17亿活跃参数，但总参数量高达400亿，配备128个专家模型。
  • 运行要求：需要更强大的硬件，如NVIDIA H100 DGX系统。
  • 功能：在多个基准测试中表现优于OpenAI的GPT-4o和谷歌的Gemini 2.0 Flash，适合创意写作、翻译和长文本总结等应用。

• Llama 4 Behemoth：

  • 参数：尚在训练中，预计将拥有2880亿活跃参数和近2万亿的总参数。
  • 功能：被视为Meta迄今为止最强大的模型，旨在作为其他模型的“教师”，在STEM领域的基准测试中表现出色。

应用场景

• 客户服务：Llama 4模型能够作为智能助手，处理客户查询和提供支持，提升客户体验。

• 教育辅导：这些模型可以用于教育领域，提供个性化的学习支持和辅导，帮助学生解答问题和理解复杂概念。

• 创意写作：Llama 4在创意写作方面表现出色，能够生成故事、文章和其他类型的文本内容。

• 专业领域应用：在法律、金融和科研等专业领域，Llama 4可以帮助分析数据、生成报告和提供决策支持。

• 多模态应用：Llama 4支持文本、图像、视频等多种数据类型的处理，适合用于图像识别、视觉问答和文档处理等任务。

• 长文本处理：模型能够处理长上下文的对话和文本，适合用于长篇文章的总结和分析。

Meta的Llama 4系列模型是开源的，但其开源许可证有一些特定的要求。根据最新的信息，Llama 4的两个主要模型——Llama 4 Scout和Llama 4 Maverick，均被标称为“开源软件”，并且可以在Meta的官方网站和Hugging Face上下载。

Meta has released its latest open-source artificial intelligence model, Llama 4, which includes two main versions: Scout and Maverick. Both models utilize an innovative Mixture of Experts (MoE) architecture, enabling efficient processing of multiple data types, including text, images, videos, and audio.

Key Features:

Llama 4 Scout

• Parameters: 1.7 billion active parameters, with a total of 10.9 billion parameters.

• Hardware Requirements: Can run on a single NVIDIA H100 GPU.

• Capabilities: Supports multimodal input, processing text and up to five images, and features an industry-leading 10 million token context window, making it ideal for tasks such as document summarization and code reasoning.

Llama 4 Maverick

• Parameters: Also has 1.7 billion active parameters, but with a total of 40 billion parameters, supported by 128 expert models.

• Hardware Requirements: Requires more powerful hardware, such as NVIDIA H100 DGX systems.

• Performance: Outperforms OpenAI’s GPT-4o and Google’s Gemini 2.0 Flash in multiple benchmark tests, making it well-suited for creative writing, translation, and long-text summarization.

Llama 4 Behemoth (In Training)

• Parameters: Still under development, expected to have 288 billion active parameters and nearly 2 trillion total parameters.

• Purpose: Designed to be Meta’s most powerful AI model to date, acting as a “teacher” model for training other models, and excelling in STEM-related benchmark tests.

Application Scenarios

• Customer Service: Llama 4 models can act as intelligent assistants, handling customer queries and providing support, thereby enhancing customer experience.

• Education & Tutoring: These models can be used in education, offering personalized learning support and tutoring, helping students solve problems and understand complex concepts.

• Creative Writing: Llama 4 excels in creative writing, generating stories, articles, and other types of text content.

• Professional Use Cases: In legal, financial, and research fields, Llama 4 can assist in data analysis, report generation, and decision-making support.

• Multimodal Applications: With support for text, images, and videos, Llama 4 is ideal for image recognition, visual question answering, and document processing.

• Long-Text Processing: The model’s ability to handle long-context conversations and text makes it well-suited for summarizing and analyzing lengthy articles.

Meta’s Llama 4 series is open-source, but its license comes with specific requirements. According to the latest information, Llama 4 Scout and Llama 4 Maverick are officially labeled as “open-source software” and are available for download on Meta’s official website and Hugging Face.