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
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.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXllm, large-language-model, open-source, reproducible-ai, transparent-ai, model-openness-framework, generative-ai, responsible-ai
- highreadme#2Strengthen 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#3Add a homepage URL to repository metadata
Why:
COPY-PASTE FIXhttps://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.
- Llama 3 · recommended 1×
- Mistral 7B / Mixtral 8x7B · recommended 1×
- Gemma · recommended 1×
- Falcon · recommended 1×
- OLMo · recommended 1×
- CATEGORY QUERYLooking for fully open-source large language models for transparent AI development.you: not recommendedAI recommended (in order):
- Llama 3
- Mistral 7B / Mixtral 8x7B
- Gemma
- Falcon
- OLMo
- Pythia
AI recommended 6 alternatives but never named moxin-org/Moxin-LLM. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a reproducible and transparent large language model for responsible AI research.you: not recommendedAI recommended (in order):
- Hugging Face Transformers
- ð¤ Accelerate
- Weights & Biases
- PyTorch Lightning
- MLflow
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
Drop this badge into the README of moxin-org/Moxin-LLM. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/moxin-org/Moxin-LLM)<a href="https://repogeo.com/en/r/moxin-org/Moxin-LLM"><img src="https://repogeo.com/badge/moxin-org/Moxin-LLM.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
moxin-org/Moxin-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