MiniMax-01系列是Hailuo AI推出的一系列开源大型语言模型和视觉多模态模型

模型架构

• 多模态框架：MiniMax-VL-01采用“ViT-MLP-LLM”框架，结合了视觉编码、图像适配和语言模型（MiniMax-Text-01），实现了文本与视觉信息的有效融合。

• 参数规模：该模型包含303百万个参数的视觉变换器（Vision Transformer），并与MiniMax-Text-01的语言模型相结合，形成强大的多模态处理能力。

• 动态分辨率特性：输入图像根据预设网格进行调整，分辨率范围从336×336到2016×2016，确保在处理不同大小的图像时保持高效。

性能表现

• 强大的训练数据：MiniMax-VL-01的训练数据包括694百万对图像-文本描述，经过四个不同阶段的训练，处理了总计5120亿个tokens，使得模型在多模态任务中表现出色。

• 在多模态基准测试中的表现：该模型在多模态任务的评估中表现优异，尤其是在视觉问答（Visual Q&A）和图表问答（ChartQA）等任务中，达到了行业领先水平。

技术创新

• 图像编码与处理：模型将图像分割为不重叠的patches进行编码，确保在处理复杂图像时能够有效提取特征。

• 高效的训练与推理：通过先进的训练管道和优化策略，MiniMax-VL-01在处理多模态输入时展现出高效的性能。

应用场景

文本生成与理解

• 内容创作：MiniMax-Text-01可用于生成高质量的文章、博客、社交媒体内容等，适合内容创作者和营销人员。

• 对话系统：该模型能够支持智能客服和对话机器人，提供自然流畅的对话体验，提升用户互动。

视觉多模态应用

• 视觉内容生成：MiniMax-VL-01能够根据文本描述生成相关的视觉内容，适用于广告、市场营销和社交媒体等领域。

• 图像与视频生成：该模型支持将静态图像转化为动态视频，适合短视频创作、广告制作和数字艺术等应用。

教育与培训

• 在线课程：教育机构可以利用MiniMax-01生成教学视频，将静态的教学材料转化为生动的动态内容，提高学生的学习兴趣和参与度。

• 个性化学习：通过分析学生的学习数据，MiniMax-01可以生成个性化的学习材料和练习，帮助学生更好地掌握知识。

游戏与娱乐

• 游戏开发：游戏开发者可以使用MiniMax-01生成角色动画和场景，提升游戏的视觉效果和玩家体验。

• 动画制作：动画设计师可以利用该模型快速生成动画片段，节省制作时间，提高创作效率。

商业与市场营销

• 广告制作：广告公司可以使用MiniMax-01生成个性化的广告视频，快速响应市场需求，提高广告的吸引力和传播效果。

• 市场分析：通过对用户生成内容的分析，MiniMax-01可以帮助企业了解市场趋势和消费者偏好，优化产品和服务。

智能助手与自动化

• 智能助手：MiniMax-01可以用于开发智能助手，能够理解和处理用户的图像和文本输入，提供相关的反馈和信息。

• 自动化工作流：企业可以利用该模型自动化处理文档、报告生成等任务，提高工作效率。

MiniMax-01系列模型已经开源。该系列包括基础语言大模型MiniMax-Text-01和视觉多模态大模型MiniMax-VL-01。MiniMax于2025年1月15日正式宣布这一开源消息，旨在推动AI技术的广泛应用和社区的参与。

The MiniMax-01 series, launched by Hailuo AI, comprises open-source large language models and vision multimodal models.

Key Model Versions

1. MiniMax-Text-01
   A foundational language model based on a Mixture of Experts (MoE) architecture, featuring 456 billion parameters. It excels in processing contexts up to 4 million tokens, making it ideal for long text processing and complex data understanding tasks such as text generation and analysis.
2. MiniMax-VL-01
   A vision multimodal model capable of generating and understanding images and videos. It integrates textual and visual information, enabling multimodal input processing suitable for creating content for advertising, marketing, and social media.

Features of MiniMax-Text-01

Model Architecture

• Parameter Scale: The model includes a total of 456 billion parameters, with approximately 4.59 billion active per token. This large scale provides robust capabilities for handling complex tasks.
• Hybrid Attention Mechanism: Combines Lightning Attention, Softmax Attention, and MoE mechanisms to optimize performance, particularly for long-text processing.
• Long-Context Support: Trained with a context length of up to 1 million tokens and supports up to 4 million tokens during inference, ensuring efficiency in handling lengthy documents or dialogues.

Performance

• Academic Benchmarks: Achieves outstanding results on benchmarks like MMLU, SimpleQA, and mathematical reasoning, comparable to leading models.
• Information Extraction and Logical Reasoning: Excels in complex queries and tasks involving logical reasoning.

Technical Innovations

• RoPE Positional Encoding: Employs Rotary Position Embeddings (RoPE) to maintain coherence in long-context processing.
• Efficient Parallel Computation: Uses advanced parallel strategies and computation-communication overlap methods for efficient resource utilization during training and inference.

Features of MiniMax-VL-01

Model Architecture

• Multimodal Framework: Employs a “ViT-MLP-LLM” framework, combining visual encoding, image adaptation, and MiniMax-Text-01 for effective textual and visual integration.
• Parameter Scale: Includes a Vision Transformer (ViT) with 303 million parameters, integrated with MiniMax-Text-01 for robust multimodal capabilities.
• Dynamic Resolution Feature: Adjusts input image resolution from 336×336 to 2016×2016 based on predefined grids, ensuring efficiency across different image sizes.

Performance

• Extensive Training Data: Trained on 694 million image-text pairs across four stages, processing a total of 512 billion tokens for exceptional performance in multimodal tasks.
• Benchmark Excellence: Achieves industry-leading results in multimodal evaluations such as Visual Q&A and ChartQA.

Technical Innovations

• Image Encoding and Processing: Encodes images into non-overlapping patches to effectively extract features from complex images.
• Efficient Training and Inference: Demonstrates high efficiency through advanced pipelines and optimization strategies.

Application Scenarios

Text Generation and Understanding

• Content Creation: MiniMax-Text-01 can generate high-quality articles, blogs, and social media content, catering to content creators and marketers.
• Dialogue Systems: Supports intelligent customer service and chatbots, providing natural and fluid conversational experiences to enhance user interaction.

Vision Multimodal Applications

• Visual Content Generation: MiniMax-VL-01 generates visual content based on textual descriptions, suitable for advertising, marketing, and social media.
• Image and Video Generation: Converts static images into dynamic videos, ideal for short video creation, advertising, and digital art.

Education and Training

• Online Courses: Transforms static educational materials into engaging dynamic content for improved learning interest and engagement.
• Personalized Learning: Analyzes student data to generate customized learning materials and exercises, enhancing knowledge retention.

Gaming and Entertainment

• Game Development: Assists in generating character animations and scenes to enhance visual effects and player experiences.
• Animation Production: Quickly produces animation clips, saving time and improving creative efficiency.

Business and Marketing

• Advertising Creation: Generates personalized advertisement videos, rapidly meeting market demands and increasing ad appeal.
• Market Analysis: Analyzes user-generated content to identify market trends and consumer preferences, optimizing products and services.

Smart Assistants and Automation

• Smart Assistants: Develops assistants capable of processing and understanding user inputs in images and text, providing relevant feedback and information.
• Automated Workflows: Automates document processing, report generation, and other tasks, improving workplace efficiency.

Open-Source Announcement

The MiniMax-01 series, including the foundational language model MiniMax-Text-01 and the vision multimodal model MiniMax-VL-01, was officially open-sourced on January 15, 2025. This initiative aims to promote the widespread application of AI technology and encourage community participation.