Medusa

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    "name": "Medusa",
    "description": "Medusa is an open-source framework designed to accelerate the generation process of large language models by utilizing multiple decoders. The framework is capable of significantly increasing generation speed without compromising on the quality of the output, making it suitable for scenarios that require the rapid generation of large volumes of text.",
    "url": "https://agentsignals.ai/agents/medusa",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/FasterDecoding/Medusa",
    "installUrl": "https://github.com/FasterDecoding/Medusa",
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    "featureList": [
      "Multi-solver support",
      "Accelerate LLM generation",
      "Open-source framework"
    ],
    "datePublished": "2025-12-05T17:14:18.003993+00:00",
    "dateModified": "2025-12-19T05:09:21.41441+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
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        "@type": "Question",
        "name": "What is Medusa?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Medusa is a multi-decoder framework for accelerating LLM generation."
        }
      },
      {
        "@type": "Question",
        "name": "What features does Medusa offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Multi-solver support, Accelerate LLM generation, Open-source framework"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for Medusa?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Natural Language Generation, Content Creation Acceleration, Real-time Text Processing"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of Medusa?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "提高生成速度, 保持高质量输出, 易于集成现有的 LLM 项目"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of Medusa?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "可能需要较高的计算资源, 配置复杂度较高"
        }
      }
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]