slim-ner-ov
slim-ner-ov is a specialized function calling model that generates a python dictionary consisting of named entity types and the named entities identified in the text.
This is an OpenVino int4 quantized version of slim-ner, 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-ner
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Extraction of named entity types from complex business documents
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
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