urvog/llama-2-13b-transcript-chat
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kLicense:apache-2.0Architecture:Transformer Open Weights Cold
The urvog/llama-2-13b-transcript-chat model is a fine-tuned Llama 2.13b Chat variant, specifically adapted for intent call classification within an electrical company's call center. It was trained using 1000 call transcripts to accurately categorize customer inquiries. This model excels at understanding and classifying the purpose of spoken interactions in a specialized domain.
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Model Overview
This model is a specialized fine-tune of the Llama 2.13b Chat architecture, developed by urvog. Its primary purpose is intent call classification for an electrical company's call center, distinguishing it from general-purpose LLMs.
Key Capabilities
- Domain-specific intent classification: Trained on 1000 real-world call transcripts from an electrical company, enabling precise categorization of customer inquiries.
- Llama 2.13b Chat foundation: Leverages the robust conversational understanding capabilities of the Llama 2.13b base model.
Good For
- Automating the routing or analysis of customer service calls in utility sectors.
- Developing applications that require accurate classification of spoken intent within a specific business context.
- Use cases where a pre-trained, domain-adapted model for transcript analysis is beneficial.