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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model: Qwen/Qwen2.5-1.5B-Instruct
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tags:
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- text-generation
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- instruction-following
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- crm
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- tether
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pipeline_tag: text-generation
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inference: true
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---
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# Derry 1.5B Instruct (Tether Backend Brain)
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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.
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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.
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## Intended Use Case (Tether App)
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Derry reads unstructured live chat interactions and crunches them into clean, structured data blocks for business management tracking.
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### Expected Input Format
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The model expects data formatted via the standard Qwen chat template system:
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- **System Prompt**: Defining Derry's persona and summary guidelines.
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- **User Prompt**: The raw customer interaction transcript.
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### Expected Output Format
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- **Core Problem**: (1 sentence summary)
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- **Customer Sentiment**: (Frustrated / Satisfied / Neutral)
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- **Actions Taken**: (Bullet points of actions)
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- **Follow-up Required**: (Pending tasks)
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## How to Test via API
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You can send raw POST requests containing a json payload with `inputs` directly to the Hugging Face Inference API endpoint linked to this repository.
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