slim-ratings-npu-ov
slim-ratings-npu-ov is a specialized function calling model that generates a dictionary with a 'stars' rating characterizing the sentiment/positivity of a text passage between 1 (poor) and 5 (very positive).
This is an OpenVino int4 quantized version of slim-ratings, 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-ratings
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Sentiment 'stars' rating score of 1 (low) - 5 (high)
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
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