RRepoGEO

REPOGEO REPORT · LITE

llm-jp/awesome-japanese-llm

Default branch main · commit aa750558 · scanned 5/11/2026, 10:48:14 AM

GitHub: 1,394 stars · 46 forks

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 llm-jp/awesome-japanese-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
    Reposition the English README's opening to explicitly state it's a curated list

    Why:

    CURRENT
    This article summarizes information on publicly available Japanese LLMs (LLMs primarily trained on Japanese) and Japanese LLM evaluation benchmarks. The information is collected by volunteers, and some of it is cited from papers and publicly available resources.
    COPY-PASTE FIX
    This repository is a curated, comprehensive list of publicly available Japanese Large Language Models (LLMs) and their evaluation benchmarks. The information is collected by volunteers, and some of it is cited from papers and publicly available resources.
  • mediumtopics#2
    Add 'awesome-list' to the repository topics

    Why:

    CURRENT
    foundation-models, generative-ai, generative-model, generative-models, japanese, japanese-language, japanese-language-model, japanese-llm, language-model, language-models, large-language-model, large-language-models, llm, llm-japanese, llms, multimodal, vision-and-language, vision-language, vision-language-model
    COPY-PASTE FIX
    foundation-models, generative-ai, generative-model, generative-models, japanese, japanese-language, japanese-language-model, japanese-llm, language-model, language-models, large-language-model, large-language-models, llm, llm-japanese, llms, multimodal, vision-and-language, vision-language, vision-language-model, awesome-list
  • lowabout#3
    Update repository description to emphasize 'curated list'

    Why:

    CURRENT
    日本語LLMまとめ - Overview of Japanese LLMs
    COPY-PASTE FIX
    日本語LLMまとめ - A curated list and overview of Japanese LLMs

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 llm-jp/awesome-japanese-llm
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
rinna/japanese-gpt-neox-3.6b
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. rinna/japanese-gpt-neox-3.6b · recommended 2×
  2. stabilityai/japanese-stablelm-base-alpha-7b · recommended 2×
  3. line-corporation/japanese-large-language-model-1.6b · recommended 2×
  4. ELYZA-japanese-Llama-2-7b · recommended 1×
  5. cyberagent/open-calm-7b · recommended 1×
  • CATEGORY QUERY
    What are the best open-source large language models for Japanese text generation?
    you: not recommended
    AI recommended (in order):
    1. ELYZA-japanese-Llama-2-7b
    2. rinna/japanese-gpt-neox-3.6b
    3. cyberagent/open-calm-7b
    4. stabilityai/japanese-stablelm-base-alpha-7b
    5. line-corporation/japanese-large-language-model-1.6b
    6. tokyotech-llm/Swallow-7b-instruct-v0.1

    AI recommended 6 alternatives but never named llm-jp/awesome-japanese-llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive list of Japanese LLMs with details on their licensing?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. CyberAgent/calm2-7b
    3. stabilityai/japanese-stablelm-base-alpha-7b
    4. line-corporation/japanese-large-language-model-1.6b
    5. rinna/japanese-gpt-neox-3.6b
    6. elyza/ELYZA-japanese-Llama-2-7b
    7. stockmark/stockmark-13b-instruct
    8. arXiv
    9. GitHub
    10. Slack
    11. Discord

    AI recommended 11 alternatives but never named llm-jp/awesome-japanese-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 llm-jp/awesome-japanese-llm?
    pass
    AI did not name llm-jp/awesome-japanese-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 llm-jp/awesome-japanese-llm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named llm-jp/awesome-japanese-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 llm-jp/awesome-japanese-llm solve, and who is the primary audience?
    pass
    AI named llm-jp/awesome-japanese-llm explicitly

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

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