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---
license: apache-2.0
inference: false
base_model: llmware/slim-ner
base_model_relation: quantized
tags: [green, p1, llmware-fx, ov]
---
# 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
[llmware on github](https://www.github.com/llmware-ai/llmware)
[llmware on hf](https://www.huggingface.co/llmware)
[llmware website](https://www.llmware.ai)
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