Derry 1.5B Instruct (Tether Business Backend Brain)
Derry is a highly optimized, lightweight 1.5 Billion parameter instruction-following model built to handle real-time text summarization and CRM structuring for the Tether social platform.
It is based on the robust Qwen2.5-1.5B-Instruct architecture, delivering lightning-fast text processing speeds making it ideal for live mobile applications.
Intended Use Case (Tether Business App)
Derry reads unstructured live chat interactions and crunches them into clean, structured data blocks for business management tracking.
Expected Input Format
The model expects data formatted via the standard Qwen chat template system:
- System Prompt: Defining Derry's persona and summary guidelines.
- User Prompt: The raw customer interaction transcript.
Expected Output Format
- Core Problem: (1 sentence summary)
- Customer Sentiment: (Frustrated / Satisfied / Neutral)
- Actions Taken: (Bullet points of actions)
- Follow-up Required: (Pending tasks)
How to Test via API
You can send raw POST requests containing a json payload with inputs directly to the Hugging Face Inference API endpoint linked to this repository.