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

Model Card Contact

llmware on github

llmware on hf

llmware website