metadata
license: apache-2.0
inference: false
tags:
- green
- p1
- llmware-fx
- ov
slim-extract-tiny-ov
slim-extract-tiny-ov is an OpenVino int4 quantized version of slim-extract-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
slim-extract-tiny is a specialized extraction function calling model that looks for a key and value in a complex business document and returns a python dictionary with the designated key and the values found in the text for that key.
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Model Description
- Developed by: llmware
- Model type: tinyllama
- Parameters: 1.1 billion
- Model Parent: llmware/slim-extract-tiny
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Extraction of values from complex business documents
- RAG Benchmark Accuracy Score: NA
- Quantization: int4