LLM-Pruner

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    "@type": "SoftwareApplication",
    "@id": "https://agentsignals.ai/agents/llm-pruner",
    "name": "LLM-Pruner",
    "description": "LLM-Pruner is a research tool designed for structured pruning of large language models (LLMs), aiming to reduce model size without significantly impacting performance. It supports a variety of models, including Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, and TinyLlama. This tool is very useful for researching how to optimize and deploy large language models.",
    "url": "https://agentsignals.ai/agents/llm-pruner",
    "applicationCategory": "研究",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/horseee/LLM-Pruner",
    "installUrl": "https://github.com/horseee/LLM-Pruner",
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    "featureList": [
      "Supports multiple large language models",
      "Structured pruning technology",
      "Reduces model size and computational resource requirements"
    ],
    "datePublished": "2025-12-05T17:17:31.161039+00:00",
    "dateModified": "2025-12-20T13:35:43.526944+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is LLM-Pruner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "A tool for pruning the architecture of large language models, supporting various LLM models."
        }
      },
      {
        "@type": "Question",
        "name": "What features does LLM-Pruner offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Supports multiple large language models, Structured pruning technology, Reduces model size and computational resource requirements"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for LLM-Pruner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Model Optimization, Model Deployment in Resource-Constrained Environments, Academic Research"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of LLM-Pruner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "支持广泛的模型类型, 能够有效减少模型大小, 适用于研究和生产环境"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of LLM-Pruner?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "需要一定的技术背景, 可能需要大量计算资源进行剪枝过程"
        }
      }
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