UPLOAD_GUIDE.md

How to Upload to Hugging Face Hub (Web UI)

IMPORTANT FIRST STEP:

• DO NOT UPLOAD PRIVATE_MODEL_TRAINING_NOTES.md TO HUGGING FACE! This file stays internal only.

Step 1: Create a New Model Repository on Hugging Face

1. Go to https://huggingface.co/
2. Log in with your tarvico account
3. Click on your profile picture → "New Model"
4. Fill in the details:
   • Model name: maeyen-ai-model
   • Owner: tarvico
   • License: Choose one (e.g., MIT, Apache-2.0)
   • Task: Text Generation
   • Library: transformers, peft
   • Language: English
   • Visibility: Choose "Private" if possible to avoid accidental exposure
5. Click "Create model"

Step 2: Upload All Files Except PRIVATE_MODEL_TRAINING_NOTES.md

On your new model page (https://huggingface.co/tarvico/maeyen-ai-model):

1. Click "Files and versions" tab
2. Click "Add file" → "Upload files"
3. Upload ALL files in this folder EXCEPT PRIVATE_MODEL_TRAINING_NOTES.md:
   • README.md (with YAML metadata at top)
   • config.json
   • generation_config.json
   • adapter_config.json
   • adapter_model.safetensors (IMPORTANT! This is the LoRA weights file)
   • requirements.txt
   • train.py
   • inference.py
   • tokenizer_config.json
   • .gitattributes (CRITICAL! Don't skip this!)
   • maeyen_examples.jsonl
   • generate_dummy_weights.py
   • UPLOAD_GUIDE.md
4. Add a commit message like "Initial Maeyen Trust & Risk Assistant"
5. Click "Commit changes"

Step 3: Later, Replace Dummy Weights with Real Ones

When you have real data and can train properly:

1. Replace adapter_model.safetensors with your trained weights
2. Commit the new file

Critical Reminders:

• NEVER UPLOAD PRIVATE_MODEL_TRAINING_NOTES.md TO PUBLIC/PRIVATE HUGGING FACE REPO
• Keep all base model details internal only
• If making repo public, double-check license compliance for base model
• All public content uses "Maeyen Trust & Risk Assistant" only