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slim-ner-ov
llmware/slim-ner-ov
slim-ner-ov is a machine learning model from llmware. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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.
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Oct 31, 2024
- SHA
- f9492cc8
Base models
Model card
From the Hugging Face model README
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
Model Card Contact
- Type
- llama
- License
- apache-2.0
- Created
- Sep 7, 2024
- Updated
- Oct 31, 2024