Pavelevich/llm-checker

• highreadme#1

  Reposition the README's main subtitle to clarify its function

  原因：

  当前

  **Intelligent Ollama Model Selector**

  复制粘贴的修复

  复制

  **Intelligent Ollama Model Selector: Hardware Compatibility for Local LLMs**

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

  复制粘贴的修复

  复制

  ollama, llm, sllm, cli, hardware-analysis, model-selection, local-llm, gpu, cpu, vram, memory, compatibility

  待办完成忽略
• mediumlicense#3

  Clarify the existing license in the README

  原因：

  复制粘贴的修复

  复制

  Add a section to the README, e.g., under 'Docs' or 'About', stating: `## License
  This project uses a custom license. Please refer to the [LICENSE](LICENSE) file for full details on usage and distribution.`

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to determine which large language models can run efficiently on my local machine?

  你：未被推荐
  AI 推荐顺序：

  1. Ollama (ollama/ollama)
  2. Llama 3
  3. Phi-3-mini
  4. Gemma
  5. Mistral
  6. LM Studio
  7. Jan (janhq/jan)
  8. GGML/GGUF
  9. llama.cpp (ggerganov/llama.cpp)
  10. TinyLlama
  11. OpenHermes-2.5-Mistral-7B
  12. Zephyr-7B-beta
  13. Transformers (huggingface/transformers)
  14. bitsandbytes (TimDettmers/bitsandbytes)
  15. AWQ
  16. Llama 3
  17. Mistral-7B-Instruct-v0.2
  18. Mixtral-8x7B-Instruct-v0.1

  AI 推荐了 18 个替代方案，却始终没点名 Pavelevich/llm-checker。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tool analyzes system hardware and suggests optimal local LLM models for Ollama?

  你：未被推荐
  AI 推荐顺序：

  1. Ollama Itself
  2. ollama ps
  3. ollama run <model> --verbose
  4. nvidia-smi
  5. radeontop
  6. amdgpu_top
  7. htop
  8. Task Manager
  9. Hugging Face Model Cards
  10. Ollama library
  11. Ollama Discord
  12. Reddit r/LocalLLaMA

  AI 推荐了 12 个替代方案，却始终没点名 Pavelevich/llm-checker。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Pavelevich/llm-checker?

  pass
  ✓AI 明确点名了 Pavelevich/llm-checker

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Pavelevich/llm-checker in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Pavelevich/llm-checker

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Pavelevich/llm-checker solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 Pavelevich/llm-checker

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？