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slim-category-ov
llmware/slim-category-ov
slim-category-ov is a text generation model from llmware. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
slim-category-ov is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter. No other instructions are required except to pass t…
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Mar 11, 2025
- SHA
- f53eb010
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Model card
From the Hugging Face model README
slim-category-ov
slim-category-ov is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter. No other instructions are required except to pass the context passage, and the target key, and the model will generate a python dictionary consisting of 'category' key and the classification of information category in the text.
This is an OpenVino int4 quantized version of slim-category-ov, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
Model Description
- Developed by: llmware
- Model type: tinyllama
- Parameters: 1.1 billion
- Model Parent: llmware/slim-category
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Extraction of values from complex business documents
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
Model Card Contact
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Created
- Jul 4, 2024
- Updated
- Mar 11, 2025