元象大模型是由元象信息科技有限公司（元象 XVERSE）自主研发的一系列高性能通用大模型

元象 XVERSE

元象大模型是由元象信息科技有限公司（元象 XVERSE）自主研发的一系列高性能通用大模型。

主要模型版本

XVERSE-7B

• 参数规模：70亿
• 特点：支持多语言，具有强大的认知、规划、推理和记忆能力。上下文窗口长度为8192，支持中、英、俄、法等40多种语言。该版本可以在单张消费级显卡上运行，推理量化后最低只需6GB显存，显著降低了开发门槛和推理成本。

XVERSE-13B

• 参数规模：130亿
• 特点：支持多语言，训练于1.4万亿tokens，支持8K上下文长度。该模型在多个权威基准测评中表现出色，适用于更复杂的任务和更长的多轮对话、知识问答与摘要生成。

XVERSE-65B

• 参数规模：650亿
• 特点：支持多语言，综合性能媲美GPT-3.5，特别在代码和数学能力上有专项提升。该模型在SuperCLUE中文通用大模型综合基准评测中排名第一，适用于需要高精度和复杂任务的应用场景。

XVERSE-MoE-A4.2B

• 参数规模：激活参数4.2亿
• 特点：采用混合专家模型架构（Mixture of Experts），效果媲美13B模型，但计算量仅为其30%，训练时间减少50%。该模型在多个权威评测中表现优异，适用于需要高效计算和低成本部署的场景。

XVERSE-Long-256K

• 参数规模：未明确，但支持超长上下文
• 特点：全球首个上下文窗口长度为256K的开源大模型，支持输入25万汉字或60万单词，适用于大规模数据分析、多文档阅读理解和跨领域知识融合等场景。

XVERSE-V

• 参数规模：未明确
• 特点：多模态大模型，支持任意宽高比图像输入，能够处理信息图、文献、现实场景、数理题目、科学文献和代码转换等不同需求。

应用场景

教育

• 沉浸式学习环境：通过创建虚拟课堂和互动学习平台，使知识传授更加生动有趣。
• 智能辅导：提供个性化的学习建议和辅导，帮助学生更好地理解和掌握知识点。

娱乐

• 虚拟音乐会和游戏：开发虚拟音乐会、游戏或社交网络，让用户在虚拟世界中享受全新的互动体验。
• 内容创作：辅助创作音乐、视频和其他娱乐内容，提升创作效率和质量。

商业

• 智能客服：通过自然语言处理技术，提供高效、准确的客户服务，提升用户体验。
• 精准营销：分析用户行为和偏好，提供个性化的产品推荐和营销策略。
• 金融分析：处理复杂的金融数据，提供智能化的投资建议和风险评估。

科研

• 数据分析：支持大规模数据分析和多文档阅读理解，帮助研究人员快速获取和处理信息。
• 科学研究：辅助科学文献的撰写和分析，提升科研效率。

其他应用

• 医疗：辅助诊断和治疗方案的制定，提升医疗服务的质量和效率。
• 司法：辅助法律文书的撰写和分析，提升司法工作的效率和准确性。
• 编程辅助：提供代码生成和优化建议，提升开发效率。

开源模型

• XVERSE系列：包括XVERSE-7B、XVERSE-13B、XVERSE-65B等，全部开源并免费商用，支持多语言和长文本处理。

The XVERSE Large Model series, developed by XVERSE Information Technology Co., Ltd. (XVERSE), consists of a range of high-performance general-purpose large models.

Main Model Versions

• XVERSE-7B
  • Parameter Size: 7 billion
  • Features: Multilingual support with strong capabilities in cognition, planning, reasoning, and memory. It has a context window length of 8,192 and supports over 40 languages, including Chinese, English, Russian, and French. This version can run on a single consumer-grade GPU, requiring as little as 6GB of VRAM after inference quantization, significantly lowering development thresholds and inference costs.
• XVERSE-13B
  • Parameter Size: 13 billion
  • Features: Multilingual support, trained on 1.4 trillion tokens, with an 8K context length. It excels in various authoritative benchmarks and is suitable for complex tasks, extended multi-turn conversations, knowledge-based Q&A, and summarization.
• XVERSE-65B
  • Parameter Size: 65 billion
  • Features: Multilingual support, with overall performance comparable to GPT-3.5, particularly enhanced in coding and mathematical abilities. It ranked first in the SuperCLUE benchmark for general Chinese language models, making it ideal for high-precision and complex task applications.
• XVERSE-MoE-A4.2B
  • Parameter Size: 420 million activated parameters
  • Features: Uses a Mixture of Experts (MoE) architecture, offering performance comparable to a 13B model but with only 30% of the computational requirements, reducing training time by 50%. It has demonstrated outstanding results across several authoritative benchmarks, suitable for scenarios requiring efficient computation and low-cost deployment.
• XVERSE-Long-256K
  • Parameter Size: Unspecified, but supports ultra-long context
  • Features: The world’s first open-source large model with a context window length of 256K, capable of processing 250,000 Chinese characters or 600,000 words. It is suited for large-scale data analysis, multi-document reading comprehension, and cross-domain knowledge integration.
• XVERSE-V
  • Parameter Size: Unspecified
  • Features: A multimodal large model supporting image inputs of any aspect ratio. It can handle infographics, literature, real-world scenes, mathematical problems, scientific literature, and code conversions, meeting diverse needs.

Application Scenarios

• Education
  • Immersive Learning Environments: Creates virtual classrooms and interactive learning platforms to make knowledge transmission more engaging and effective.
  • Intelligent Tutoring: Provides personalized learning advice and guidance, helping students better understand and master knowledge.
• Entertainment
  • Virtual Concerts and Games: Develops virtual concerts, games, or social networks, offering users new interactive experiences in virtual worlds.
  • Content Creation: Assists in the creation of music, videos, and other entertainment content, improving both efficiency and quality.
• Business
  • Intelligent Customer Service: Provides efficient and accurate customer service using natural language processing technology, enhancing user experience.
  • Precision Marketing: Analyzes user behavior and preferences, offering personalized product recommendations and marketing strategies.
  • Financial Analysis: Handles complex financial data, offering intelligent investment advice and risk assessments.
• Research
  • Data Analysis: Supports large-scale data analysis and multi-document reading comprehension, helping researchers quickly acquire and process information.
  • Scientific Research: Assists in the writing and analysis of scientific literature, improving research efficiency.
• Other Applications
  • Healthcare: Assists in the formulation of diagnostic and treatment plans, improving the quality and efficiency of medical services.
  • Legal: Aids in drafting and analyzing legal documents, increasing efficiency and accuracy in judicial work.
  • Programming Assistance: Provides code generation and optimization suggestions, enhancing development efficiency.

Open-Source Models

The XVERSE Series, including XVERSE-7B, XVERSE-13B, and XVERSE-65B, are fully open-source and available for commercial use for free. These models support multilingual capabilities and long text processing.