RRepoGEO

REPOGEO REPORT · LITE

moxin-org/Moxin-LLM

Default branch main · commit 21c1a578 · scanned 6/1/2026, 4:32:54 AM

GitHub: 525 stars · 51 forks

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 moxin-org/Moxin-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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, large-language-model, open-source, reproducible-ai, transparent-ai, model-openness-framework, generative-ai, responsible-ai
  • highreadme#2
    Strengthen README's opening to highlight unique value proposition

    Why:

    CURRENT
    # Moxin LLM
    
    Moxin is a family of fully open-source and reproducible LLMs
    
    [](https://arxiv.org/abs/2412.06845v5)
    [](https://github.com/moxin-org/Moxin-LLM/blob/main/LICENSE)
    [](https://huggingface.co/moxin-org)
    
    ## Introduction
    
    Generative AI (GAI) offers unprecedented opportunities for research and innovation, but its commercialization has raised concerns about transparency, reproducibility, and safety. Many open GAI models lack the necessary components for full understanding and reproducibility, and some use restrictive licenses whilst claiming to be “open-source”. To address these concerns, we follow the Model Openness Framework (MOF), a ranked classification system that rates machine learning models based on their completeness and openness, following principles of open science, open source, open data, and open access.
    COPY-PASTE FIX
    # Moxin LLM
    
    Moxin is a family of fully open-source and reproducible Large Language Models (LLMs) designed for transparent AI development and responsible research. We rigorously follow the Model Openness Framework (MOF) to ensure completeness and openness, combating 'openwashing' and promoting true open science principles in AI. Moxin provides not just the models, but also the datasets and training scripts for full reproducibility, making it ideal for researchers and developers building transparent and ethical AI applications.
  • mediumhomepage#3
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/moxin-org

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 moxin-org/Moxin-LLM
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mistral 7B / Mixtral 8x7B · recommended 1×
  3. Gemma · recommended 1×
  4. Falcon · recommended 1×
  5. OLMo · recommended 1×
  • CATEGORY QUERY
    Looking for fully open-source large language models for transparent AI development.
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B / Mixtral 8x7B
    3. Gemma
    4. Falcon
    5. OLMo
    6. Pythia

    AI recommended 6 alternatives but never named moxin-org/Moxin-LLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a reproducible and transparent large language model for responsible AI research.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. 🤗 Accelerate
    3. Weights & Biases
    4. PyTorch Lightning
    5. MLflow
    6. DeepSpeed

    AI recommended 6 alternatives but never named moxin-org/Moxin-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
    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 moxin-org/Moxin-LLM?
    pass
    AI named moxin-org/Moxin-LLM explicitly

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

  • If a team adopts moxin-org/Moxin-LLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named moxin-org/Moxin-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 moxin-org/Moxin-LLM solve, and who is the primary audience?
    pass
    AI named moxin-org/Moxin-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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  • Brand-free category queries5 vs 2 in Lite
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