slim-sentiment-npu-ov
slim-sentiment-npu-ov is a specialized function calling model that classifies the sentiment of a given text passage and generates a python dictionary with a "sentiment" key and the corresponding value assessment of the sentiment.
This is an OpenVino int4 quantized version of slim-sentiment, 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-sentiment
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Sentiment analysis for Agent-based multi-step process workflows
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
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llmware/slim-sentiment