RRepoGEO

REPOGEO REPORT · LITE

MiuLab/Taiwan-LLM

Default branch main · commit d7a5b437 · scanned 5/22/2026, 12:11:53 AM

GitHub: 1,411 stars · 119 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 MiuLab/Taiwan-LLM, 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
    Strengthen README's opening statement to explicitly claim leadership in its niche

    Why:

    CURRENT
    # TAME (TAiwan Mixture of Experts) <br/>LLM for Taiwanese Culture across Diverse Domains
    COPY-PASTE FIX
    # MiuLab/Taiwan-LLM: The Leading Open-Source LLM for Traditional Mandarin and Taiwanese Culture
  • mediumreadme#2
    Add a 'Why MiuLab/Taiwan-LLM?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    ## Why MiuLab/Taiwan-LLM?
    Unlike general-purpose LLMs such as Llama 3, Mistral, or Qwen, MiuLab/Taiwan-LLM is specifically designed and extensively trained on Traditional Mandarin datasets to capture the unique linguistic nuances and rich cultural context of Taiwan. This specialization makes it superior for applications requiring deep understanding and generation of Taiwanese-specific content, outperforming models not optimized for this domain.
  • lowtopics#3
    Add 'fine-tuning' and 'domain-specific' to repository topics

    Why:

    CURRENT
    langauge-model, llm, taiwan, traditional-mandarin, twllm
    COPY-PASTE FIX
    langauge-model, llm, taiwan, traditional-mandarin, twllm, fine-tuning, domain-specific

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 MiuLab/Taiwan-LLM
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Meta Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Meta Llama 3 · recommended 1×
  2. Mistral Large · recommended 1×
  3. Mixtral 8x7B Instruct · recommended 1×
  4. Qwen1.5 · recommended 1×
  5. Google Gemma · recommended 1×
  • CATEGORY QUERY
    What are the best open-source LLMs for processing Traditional Mandarin text from Taiwan?
    you: not recommended
    AI recommended (in order):
    1. Meta Llama 3
    2. Mistral Large
    3. Mixtral 8x7B Instruct
    4. Qwen1.5
    5. Google Gemma
    6. Breeze-7B-Instruct-v1.0
    7. Taiwan-LLM-7B-v2.0
    8. OpenChat 3.5

    AI recommended 8 alternatives but never named MiuLab/Taiwan-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I fine-tune a large language model for Taiwanese cultural nuances and specific domains?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PEFT
    3. LoRA
    4. OpenAI API
    5. PyTorch Lightning
    6. Keras
    7. DeepSpeed
    8. FSDP
    9. Weights & Biases
    10. MLflow

    AI recommended 10 alternatives but never named MiuLab/Taiwan-LLM. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 MiuLab/Taiwan-LLM?
    pass
    AI did not name MiuLab/Taiwan-LLM — 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 MiuLab/Taiwan-LLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MiuLab/Taiwan-LLM 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 MiuLab/Taiwan-LLM solve, and who is the primary audience?
    pass
    AI named MiuLab/Taiwan-LLM explicitly

    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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MARKDOWN (README)
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HTML
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MiuLab/Taiwan-LLM — 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