RRepoGEO

REPOGEO REPORT · LITE

yangjianxin1/Firefly

Default branch master · commit e22b406e · scanned 5/17/2026, 4:58:14 PM

GitHub: 6,641 stars · 587 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
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 yangjianxin1/Firefly, 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 clear English positioning statement to the README

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the main title in the README:

Firefly is an open-source, all-in-one toolkit for training large language models (LLMs), supporting pre-training, instruction fine-tuning, and DPO with various efficient methods like LoRA and QLoRA.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a standard open-source license, such as MIT or Apache-2.0.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a homepage URL in the repository settings, for example, linking to your Hugging Face profile or a dedicated project page (e.g., https://huggingface.co/YeungNLP).

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 yangjianxin1/Firefly
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. Hugging Face Accelerate · recommended 2×
  3. QLoRA · recommended 1×
  4. bitsandbytes · recommended 1×
  5. Hugging Face PEFT · recommended 1×
  • CATEGORY QUERY
    How can I efficiently fine-tune popular open-source large language models with limited GPU resources?
    you: not recommended
    AI recommended (in order):
    1. QLoRA
    2. bitsandbytes
    3. Hugging Face Transformers
    4. Hugging Face PEFT
    5. LoRA
    6. AdaLoRA
    7. IA3
    8. DeepSpeed ZeRO
    9. DeepSpeed ZeRO-2
    10. ZeRO-3
    11. Hugging Face Accelerate
    12. PyTorch
    13. Gradient Accumulation
    14. FlashAttention
    15. xFormers

    AI recommended 15 alternatives but never named yangjianxin1/Firefly. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for pre-training, instruction tuning, and DPO of various open-source LLMs?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Accelerate
    3. PEFT
    4. DeepSpeed

    AI recommended 4 alternatives but never named yangjianxin1/Firefly. 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 yangjianxin1/Firefly?
    pass
    AI named yangjianxin1/Firefly explicitly

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

  • If a team adopts yangjianxin1/Firefly in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yangjianxin1/Firefly 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 yangjianxin1/Firefly solve, and who is the primary audience?
    pass
    AI named yangjianxin1/Firefly 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 yangjianxin1/Firefly. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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Pro

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yangjianxin1/Firefly — 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