metadata
license: apache-2.0
inference: false
tags:
- green
- p1
- llmware-fx
- ov
- emerald
slim-extract-tiny-ov
slim-extract-tiny-ov is a specialized function calling model with a single mission to look for values in a text, based on an "extract" key that is passed as a parameter. No other instructions are required except to pass the context passage, and the target key, e.g.,
text_passage = "The company announced that for the current quarter the total revenue increased by 9% to $125 million."
llm_response = model.function_call(text_passage, function="extract", params=["revenue"])
Output: llm_response = {"revenue": [$125 million"]}
This 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.
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