sahayk/news-classification-18-llama-2-7b
TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:4kArchitecture:Transformer0.0K Cold
The sahayk/news-classification-18-llama-2-7b model, developed by Kshitiz Sahay, is a 7 billion parameter text classifier fine-tuned from Llama 2 7B. It specializes in categorizing news articles into 18 distinct classes. This model is optimized for news classification tasks, leveraging an instruction dataset generated by GPT 3.5.
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Model Overview
The sahayk/news-classification-18-llama-2-7b is a specialized text classification model developed by Kshitiz Sahay. It is built upon the Llama 2 7B architecture, fine-tuned specifically for the task of news article categorization.
Key Capabilities
- News Classification: The primary function of this model is to classify news articles into one of 18 predefined categories.
- Fine-tuned Performance: It leverages an instruction dataset created using GPT 3.5, enhancing its ability to accurately categorize diverse news content.
- Llama 2 7B Base: Benefits from the robust language understanding capabilities of the Llama 2 7B foundational model.
Good For
- Automated news article tagging and organization.
- Content moderation systems requiring news topic identification.
- Building applications that need to filter or route news based on subject matter.