DEPLOYMENT.md

Rax 3.5 Chat - Deployment Guide

Uploading to Hugging Face

Prerequisites

1. Install required packages:

pip install huggingface_hub transformers

2. Login to Hugging Face:

huggingface-cli login

Upload Steps

1. Initialize Git LFS (if not already done):

cd /home/ogega/Projects/models/rax-3.5-chat
git lfs install

2. Add all files:

git add .
git commit -m "Initial commit: Rax 3.5 Chat model"

3. Create repository on Hugging Face:

   • Go to https://huggingface.co/new
   • Create a new model repository named "rax-3.5-chat" under raxcore-dev
   • Choose "Public" or "Private" as needed

4. Push to Hugging Face:

git remote add origin https://huggingface.co/raxcore-dev/rax-3.5-chat
git branch -M main
git push -u origin main

Alternative: Using huggingface_hub

from huggingface_hub import HfApi

api = HfApi()
api.upload_folder(
    folder_path="/home/ogega/Projects/models/rax-3.5-chat",
    repo_id="raxcore-dev/rax-3.5-chat",
    repo_type="model"
)

Model Testing

Run the included test script:

cd /home/ogega/Projects/models/rax-3.5-chat
python test_rax.py

Files Included

• config.json - Model configuration
• tokenizer_config.json - Tokenizer configuration
• model.safetensors - Model weights
• tokenizer.json - Tokenizer data
• tokenizer.model - SentencePiece model
• generation_config.json - Generation parameters
• README.md - Comprehensive documentation
• model_card.md - Hugging Face model card
• test_rax.py - Test script
• .gitattributes - Git LFS configuration

Ready for Release!

Your Rax 3.5 Chat model is now fully rebranded and ready for upload to Hugging Face.