RRepoGEO

REPOGEO REPORT · LITE

LinkSoul-AI/Chinese-Llama-2-7b

Default branch main · commit a2749381 · scanned 5/9/2026, 3:47:46 AM

GitHub: 2,212 stars · 197 forks

AI VISIBILITY SCORE
35 /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
3 / 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 LinkSoul-AI/Chinese-Llama-2-7b, 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 the README's opening paragraph to highlight unique value

    Why:

    CURRENT
    全部开源，完全可商用的**中文版 Llama2 模型及中英文 SFT 数据集**，输入格式严格遵循 *llama-2-chat* 格式，兼容适配所有针对原版 *llama-2-chat* 模型的优化。
    COPY-PASTE FIX
    LinkSoul-AI/Chinese-Llama-2-7b is the **first fully open-source, commercially usable, and readily runnable Chinese Llama 2 model** in the open-source community. This 7B model, complete with English and Chinese SFT datasets, is specifically optimized for robust Chinese language processing, strictly following the `llama-2-chat` format for full compatibility.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/LinkSoul/Chinese-Llama-2-7b
  • mediumtopics#3
    Expand repository topics with more specific Chinese LLM keywords

    Why:

    CURRENT
    deep-learning, llama2, llama2-docker, llm, pytorch
    COPY-PASTE FIX
    deep-learning, llama2, llama2-docker, llm, pytorch, chinese-llm, chinese-nlp, large-language-model, sft-data, instruction-tuning

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 LinkSoul-AI/Chinese-Llama-2-7b
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Qwen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Qwen · recommended 2×
  2. Yi · recommended 2×
  3. Baichuan 2 · recommended 1×
  4. ChatGLM3 · recommended 1×
  5. Pangu-Σ · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source large language model specifically designed for robust Chinese language processing.
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen
    3. ChatGLM3
    4. Yi
    5. Pangu-Σ

    AI recommended 5 alternatives but never named LinkSoul-AI/Chinese-Llama-2-7b. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best options for a commercially usable Chinese LLM with easy deployment?
    you: not recommended
    AI recommended (in order):
    1. Qwen
    2. Baichuan
    3. ChatGLM
    4. InternLM
    5. MiniCPM
    6. Yi

    AI recommended 6 alternatives but never named LinkSoul-AI/Chinese-Llama-2-7b. 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 LinkSoul-AI/Chinese-Llama-2-7b?
    pass
    AI named LinkSoul-AI/Chinese-Llama-2-7b explicitly

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

  • If a team adopts LinkSoul-AI/Chinese-Llama-2-7b in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LinkSoul-AI/Chinese-Llama-2-7b 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 LinkSoul-AI/Chinese-Llama-2-7b solve, and who is the primary audience?
    pass
    AI named LinkSoul-AI/Chinese-Llama-2-7b explicitly

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

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