chatpbc-v33/ChatPBC_FineTuned_Deployment_Checklist.md

ChatPBC Fine-Tuned Deployment Checklist

This checklist ensures that ChatPBC V4 and V3.3 are correctly deployed and accessible via the direct Hugging Face Inference API.

1. Repository Configuration

• Model repositories chatpbc1/chatpbc-v4 and chatpbc1/chatpbc-v33 are set to Public.
• Hugging Face Token has write access to these repositories.

2. API Endpoint Verification

• ChatPBC V4 Endpoint: https://api-inference.huggingface.co/models/chatpbc1/chatpbc-v4/v1/chat/completions
• ChatPBC V3.3 Endpoint: https://api-inference.huggingface.co/models/chatpbc1/chatpbc-v33/v1/chat/completions
• Endpoint format follows the OpenAI-compatible direct inference structure.

3. Code Implementation

• ChatPBC_Conversational_Demo.html uses the direct endpoints.
• hf_space_app.py uses the direct endpoints.
• The provider field is REMOVED from all API request bodies.
• Authorization header is correctly set to Bearer [HF_TOKEN].
• UI reflects "ChatPBC" branding only (no mentions of Llama or other base models).

4. Security & Deployment

• The version of ChatPBC_Conversational_Demo.html uploaded to repositories uses the placeholder YOUR_HF_TOKEN_HERE.
• The version delivered to the user contains the real token.
• hf_space_app.py is uploaded to both repositories.
• Supporting scripts (chatpbc_webscraper.py, chatpbc_file_processor.py) are included.

5. Functional Testing

• Local HTML file opens in browser and successfully communicates with the model.
• CORS errors are absent due to using the /v1/chat/completions sub-endpoint.
• File uploads and URL inputs are correctly appended to the conversation context.
• Model switching between V4 and V3.3 works as expected.

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Developer: Mik Tse Agency
Date: July 26, 2026