---
license: apache-2.0
language:
- en
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- text-generation
- instruction-following
- crm
- tether business
pipeline_tag: text-generation
inference: true
---

# 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.