RRepoGEO

REPOGEO REPORT · LITE

ymcui/Chinese-LLaMA-Alpaca-3

Default branch main · commit 0f39d4a8 · scanned 6/22/2026, 7:42:01 PM

GitHub: 1,974 stars · 171 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 ymcui/Chinese-LLaMA-Alpaca-3, 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
    Add a concise English summary to the README

    Why:

    COPY-PASTE FIX
    Add the following line at the very top of the README: 'This project provides Chinese Llama-3 base and instruction-tuned foundation models, optimized for advanced Chinese NLP and fine-tuning.'
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/hfl
  • lowreadme#3
    Explicitly highlight the core differentiator in the README's '主要内容' section

    Why:

    COPY-PASTE FIX
    Add the following sentence before the bullet points in the '主要内容' section: 'Unlike general Llama-3 models, this project offers specifically pre-trained and instruction-tuned models for superior Chinese language understanding and generation.'

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 ymcui/Chinese-LLaMA-Alpaca-3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ERNIE 3.0 Titan
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ERNIE 3.0 Titan · recommended 1×
  2. CPM-2 · recommended 1×
  3. BERT-wwm-ext · recommended 1×
  4. MacBERT · recommended 1×
  5. RoBERTa-wwm-ext-large · recommended 1×
  • CATEGORY QUERY
    What are the best pre-trained models for advanced Chinese natural language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. ERNIE 3.0 Titan
    2. CPM-2
    3. BERT-wwm-ext
    4. MacBERT
    5. RoBERTa-wwm-ext-large
    6. XLNet-base-chinese
    7. ELECTRA-small-chinese

    AI recommended 7 alternatives but never named ymcui/Chinese-LLaMA-Alpaca-3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a powerful open-source foundation model for fine-tuning with Chinese instruction data.
    you: not recommended
    AI recommended (in order):
    1. Qwen2
    2. Llama 3
    3. Yi-series
    4. DeepSeek-Coder
    5. Baichuan2
    6. Mistral Large / Mixtral 8x7B

    AI recommended 6 alternatives but never named ymcui/Chinese-LLaMA-Alpaca-3. 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 ymcui/Chinese-LLaMA-Alpaca-3?
    pass
    AI did not name ymcui/Chinese-LLaMA-Alpaca-3 — 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 ymcui/Chinese-LLaMA-Alpaca-3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ymcui/Chinese-LLaMA-Alpaca-3 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 ymcui/Chinese-LLaMA-Alpaca-3 solve, and who is the primary audience?
    pass
    AI did not name ymcui/Chinese-LLaMA-Alpaca-3 — 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?

Embed your GEO score

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ymcui/Chinese-LLaMA-Alpaca-3 — 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