RRepoGEO

REPOGEO REPORT · LITE

CMKRG/QiZhenGPT

Default branch main · commit cf5be4d3 · scanned 6/7/2026, 12:02:59 AM

GitHub: 776 stars · 88 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface CMKRG/QiZhenGPT, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to prioritize the open-source model

    Why:

    CURRENT
    # 启真医学大模型 & MedCopilot
    
    ## QiZhenGPT
    
    QiZhenGPT: An Open Source Chinese Medical Large Language Model
    
    本项目利用启真医学知识库构建的中文医学指令数据集,并基于此在Chinese-LLaMA-Plus-7B、CaMA-13B、ChatGLM-6B模型上进行指令精调,大幅提高了模型在中文医疗场景下效果,首先针对药品知识问答发布了评测数据集,后续计划优化疾病、手术、检验等方面的问答效果,并针对医患问答、病历自动生成等应用展开拓展。
    
    ## MedCopilot
    COPY-PASTE FIX
    # QiZhenGPT: 启真医学大模型 - An Open Source Chinese Medical Large Language Model
    
    本项目开源启真医学大模型(QiZhenGPT),一个基于启真医学知识库构建的中文医学指令数据集,并在Chinese-LLaMA-Plus-7B、CaMA-13B、ChatGLM-6B模型上进行指令精调,大幅提高了模型在中文医疗场景下效果。QiZhenGPT旨在为研究者和开发者提供一个强大的基础模型,用于药品知识问答、疾病诊断辅助、医患问答、病历自动生成等应用。
    
    ## MedCopilot: 基于启真医学大模型的智慧医疗助手
    
    `MedCopilot`是一款基于`启真医学大模型`、启真医学知识库、`医疗临床数据`研发的智慧医疗助手,旨在为患者、医生和医院管理提供全面的智慧支持。MedCopilot目前已在浙江大学第二附属医院正式上线使用。
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a relevant URL for the project's official homepage or a dedicated project page.
  • lowreadme#3
    Add a 'Key Advantages' or 'Why QiZhenGPT?' section to the README

    Why:

    COPY-PASTE FIX
    ## 核心优势 (Key Advantages)
    
    *   **深度中文医学知识集成:** 基于启真医学知识库构建,确保模型在中文医疗领域的专业性和准确性。
    *   **多模型指令精调:** 在Chinese-LLaMA-Plus-7B、CaMA-13B、ChatGLM-6B等主流模型上进行精调,提供多种选择。
    *   **真实临床数据驱动:** 训练数据包含真实医患知识问答及药品文本知识,确保实用性。
    *   **持续优化与拓展:** 持续优化疾病、手术、检验等问答效果,并拓展至医患问答、病历自动生成等高级应用。
    *   **实际应用验证:** MedCopilot已在浙江大学第二附属医院上线使用,证明了模型的临床价值。

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface CMKRG/QiZhenGPT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
THUDM/ChatGLM-6B
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. THUDM/ChatGLM-6B · recommended 1×
  2. Pangu-α (盘古大模型) · recommended 1×
  3. CPM-Live (Chinese Pretrained Language Model) · recommended 1×
  4. ymcui/Chinese-LLaMA-Alpaca · recommended 1×
  5. baichuan-inc/Baichuan-7B · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source large language model specialized in Chinese medical knowledge and Q&A.
    you: not recommended
    AI recommended (in order):
    1. ChatGLM-6B (THUDM/ChatGLM-6B)
    2. Pangu-α (盘古大模型)
    3. CPM-Live (Chinese Pretrained Language Model)
    4. Chinese-LLaMA-Alpaca (ymcui/Chinese-LLaMA-Alpaca)
    5. Baichuan-7B/13B (baichuan-inc/Baichuan-7B)

    AI recommended 5 alternatives but never named CMKRG/QiZhenGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best pre-trained LLMs for medical record generation and patient dialogue in Mandarin?
    you: not recommended
    AI recommended (in order):
    1. ChatGLM-6B / ChatGLM2-6B / ChatGLM3-6B
    2. Baichuan2-7B / Baichuan2-13B
    3. Qwen-7B / Qwen-14B / Qwen-72B (and their Chat versions)
    4. Pangu-Σ (盘古大模型)
    5. CPM-Bee (Chinese Pre-trained Model - Bee)
    6. InternLM-7B / InternLM-20B

    AI recommended 6 alternatives but never named CMKRG/QiZhenGPT. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of CMKRG/QiZhenGPT?
    pass
    AI did not name CMKRG/QiZhenGPT — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts CMKRG/QiZhenGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CMKRG/QiZhenGPT explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo CMKRG/QiZhenGPT solve, and who is the primary audience?
    pass
    AI named CMKRG/QiZhenGPT explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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CMKRG/QiZhenGPT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite