RRepoGEO

REPOGEO REPORT · LITE

Xwin-LM/Xwin-LM

Default branch main · commit 4587c109 · scanned 5/9/2026, 4:37:36 AM

GitHub: 1,038 stars · 44 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Xwin-LM/Xwin-LM, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-alignment, large-language-models, sft, rlhf, reward-models, llama2, math-reasoning, code-generation, alpacaeval, gsm8k, xwin-lm
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing a suitable open-source license (e.g., Apache-2.0 or MIT) and adding its full text.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add 'https://huggingface.co/Xwin-LM' as the homepage URL in the repository settings.

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 Xwin-LM/Xwin-LM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
InstructGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. InstructGPT · recommended 1×
  2. Constitutional AI · recommended 1×
  3. huggingface/peft · recommended 1×
  4. Claude · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I improve large language model performance using robust alignment techniques?
    you: not recommended
    AI recommended (in order):
    1. InstructGPT
    2. Constitutional AI
    3. Hugging Face PEFT library (huggingface/peft)
    4. Claude
    5. GPT-4
    6. Llama 3 (meta-llama/llama3)
    7. Garak (leondz/garak)
    8. Counterfit (Azure/counterfit)

    AI recommended 8 alternatives but never named Xwin-LM/Xwin-LM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools help fine-tune LLMs with human feedback for better math reasoning?
    you: not recommended
    AI recommended (in order):
    1. trl (huggingface/trl)
    2. DeepSpeed-Chat (microsoft/DeepSpeed-Chat)
    3. OpenAssistant (LAION-AI/Open-Assistant)
    4. Hugging Face Transformers (huggingface/transformers)
    5. PyTorch (pytorch/pytorch)
    6. TensorFlow (tensorflow/tensorflow)
    7. Weights & Biases (wandb/wandb)
    8. OpenAI Gym (openai/gym)
    9. Gymnasium (Farama-Foundation/Gymnasium)

    AI recommended 9 alternatives but never named Xwin-LM/Xwin-LM. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 Xwin-LM/Xwin-LM?
    pass
    AI named Xwin-LM/Xwin-LM explicitly

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

  • If a team adopts Xwin-LM/Xwin-LM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Xwin-LM/Xwin-LM 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 Xwin-LM/Xwin-LM solve, and who is the primary audience?
    pass
    AI named Xwin-LM/Xwin-LM 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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Xwin-LM/Xwin-LM — 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