slim-emotions-npu-ov
slim-emotions-npu-ov is a specialized function calling model that classifies the emotion of a given text context passage, and generates a python dictionary with an "emotions" key and a value of the assessed emotion, e.g., ["surprised"].
This is an OpenVino int4 quantized version of slim-emotions, 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-emotions
- Language(s) (NLP): English
- License: Apache 2.0
- Uses: Emotions classifier designed for Agent-based multi-step workflows
- RAG Benchmark Accuracy Score: NA
- Quantization: int4
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