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XVERSE Large Model

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

Introduction

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.

Information

  • Publisher
    WTAI
  • Websitexverse.cn
  • Published date2024/10/28

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