---
license: apache-2.0
inference: false 
base_model: llmware/slim-emotions
base_model_relation: quantized 
tags: [green, p1, llmware-fx, onnx, emerald]
---

# slim-emotions-onnx

**slim-emotions-onnx** 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 ONNX int4 quantized version of slim-emotions, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and 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  
  

## Model Card Contact

[llmware on github](https://www.github.com/llmware-ai/llmware)  

[llmware on hf](https://www.huggingface.co/llmware)  

[llmware website](https://www.llmware.ai)