tiny-llm

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    "name": "tiny-llm",
    "description": "tiny-llm is a tutorial aimed at system engineers, designed to teach how to build and deploy small language models (vLLM) and Qwen on Apple Silicon. Through this course, learners can understand how to optimize models to run efficiently on Apple's M-series chips while ensuring the accuracy and performance of the models.",
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    "featureList": [
      "Optimization for Apple Silicon",
      "Guide to Building Small Language Models",
      "Practical Deployment Cases"
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    "datePublished": "2025-12-05T17:01:19.247077+00:00",
    "dateModified": "2025-12-19T05:07:19.854782+00:00",
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          "text": "A tutorial for building and deploying small LLMs on Apple Silicon."
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        "@type": "Question",
        "name": "What features does tiny-llm offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Optimization for Apple Silicon, Guide to Building Small Language Models, Practical Deployment Cases"
        }
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      {
        "@type": "Question",
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        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Deploy AI applications on Mac, Learn LLM optimization techniques, Develop AI solutions for low-resource environments"
        }
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        "name": "What are the advantages of tiny-llm?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "适合初学者的详细教程, 涵盖最新技术, 实践导向的学习材料"
        }
      },
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        "@type": "Question",
        "name": "What are the limitations of tiny-llm?",
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          "text": "需要一定的编程基础, 内容可能随技术发展而快速过时"
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