gpu_poor

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    "@id": "https://agentsignals.ai/agents/gpu-poor",
    "name": "gpu_poor",
    "description": "gpu_poor is an open-source tool designed to help developers calculate and optimize the token/s processing speed and GPU memory requirements for large language models (LLMs). The tool supports various quantization methods, including llama.cpp, ggml, bnb, and QLoRA, making it suitable for efficiently running LLMs in resource-constrained environments.",
    "url": "https://agentsignals.ai/agents/gpu-poor",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/RahulSChand/gpu_poor",
    "installUrl": "https://github.com/RahulSChand/gpu_poor",
    "offers": {
      "@type": "Offer",
      "price": "0",
      "priceCurrency": "USD",
      "description": "免费",
      "availability": "https://schema.org/InStock"
    },
    "featureList": [
      "Supports multiple quantization methods",
      "Calculation processing speed (tokens/s)",
      "Optimize GPU memory requirements"
    ],
    "datePublished": "2025-12-05T17:16:19.978352+00:00",
    "dateModified": "2025-12-19T05:09:03.860485+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
    }
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    "@type": "FAQPage",
    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is gpu_poor?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Calculate the token/s and GPU memory requirements for any LLM, supporting multiple quantization methods."
        }
      },
      {
        "@type": "Question",
        "name": "What features does gpu_poor offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Supports multiple quantization methods, Calculation processing speed (tokens/s), Optimize GPU memory requirements"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for gpu_poor?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "LLM deployment in resource-constrained environments, LLM performance optimization, Comparison of quantization methods"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of gpu_poor?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "开源免费, 支持多种主流量化方法, 易于集成"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of gpu_poor?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "功能相对单一, 可能需要一定的技术背景"
        }
      }
    ]
  }
]