slim-summary-tiny-npu-ov
slim-summary-tiny-npu-ov is a specialized function calling model that summarizes a given text and generates as output a Python list of summary points.
This is an OpenVino int4 quantized version of slim-summary-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel NPU.
Model Description
- Developed by: llmware
- Model type: tinyllama
- Parameters: 1.1 billion
- Model Parent: llmware/slim-summary-tiny
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Summary bulletpoints extracted from complex business documents
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
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Model tree for llmware/slim-summary-tiny-npu-ov
Base model
llmware/slim-summary-tiny