xtuner

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    "@id": "https://agentsignals.ai/agents/xtuner",
    "name": "xtuner",
    "description": "Xtuner is an advanced training engine specifically designed to handle ultra-large-scale Mixture of Experts (MoE) models. It provides efficient data parallelism, model parallelism, and pipeline parallelism, supports multiple deep learning frameworks, and is aimed at optimizing the training efficiency and resource utilization of large models.",
    "url": "https://agentsignals.ai/agents/xtuner",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/InternLM/xtuner",
    "installUrl": "https://github.com/InternLM/xtuner",
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    "featureList": [
      "Supports multiple deep learning frameworks",
      "Efficient data and model parallelism",
      "Optimized resource utilization and training efficiency"
    ],
    "datePublished": "2025-12-05T16:39:31.943804+00:00",
    "dateModified": "2025-12-19T05:06:43.853118+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is xtuner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "The next-generation training engine designed for ultra-large MoE models"
        }
      },
      {
        "@type": "Question",
        "name": "What features does xtuner offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Supports multiple deep learning frameworks, Efficient data and model parallelism, Optimized resource utilization and training efficiency"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for xtuner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Large-scale model training, Deep learning projects for research institutions, Enterprise-level AI application development"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of xtuner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "高效的并行处理能力, 支持多种框架和模型, 优化的训练效率"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of xtuner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要较高的硬件配置, 对初学者可能不够友好"
        }
      }
    ]
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]