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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

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