REPOGEO REPORT · LITE
CMKRG/QiZhenGPT
Default branch main · commit cf5be4d3 · scanned 6/7/2026, 12:02:59 AM
GitHub: 776 stars · 88 forks
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.
- highreadme#1Reposition 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#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXAdd a relevant URL for the project's official homepage or a dedicated project page.
- lowreadme#3Add 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.
- THUDM/ChatGLM-6B · recommended 1×
- Pangu-α (盘古大模型) · recommended 1×
- CPM-Live (Chinese Pretrained Language Model) · recommended 1×
- ymcui/Chinese-LLaMA-Alpaca · recommended 1×
- baichuan-inc/Baichuan-7B · recommended 1×
- CATEGORY QUERYSeeking an open-source large language model specialized in Chinese medical knowledge and Q&A.you: not recommendedAI recommended (in order):
- ChatGLM-6B (THUDM/ChatGLM-6B)
- Pangu-α (盘古大模型)
- CPM-Live (Chinese Pretrained Language Model)
- Chinese-LLaMA-Alpaca (ymcui/Chinese-LLaMA-Alpaca)
- 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 QUERYWhat are the best pre-trained LLMs for medical record generation and patient dialogue in Mandarin?you: not recommendedAI recommended (in order):
- ChatGLM-6B / ChatGLM2-6B / ChatGLM3-6B
- Baichuan2-7B / Baichuan2-13B
- Qwen-7B / Qwen-14B / Qwen-72B (and their Chat versions)
- Pangu-Σ (盘古大模型)
- CPM-Bee (Chinese Pre-trained Model - Bee)
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI named CMKRG/QiZhenGPT explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of CMKRG/QiZhenGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/CMKRG/QiZhenGPT)<a href="https://repogeo.com/en/r/CMKRG/QiZhenGPT"><img src="https://repogeo.com/badge/CMKRG/QiZhenGPT.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
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