File size: 1,157 Bytes
337cb4c 665798a 662bc64 337cb4c 662bc64 337cb4c 662bc64 337cb4c 662bc64 337cb4c ea6a4b4 337cb4c ea6a4b4 337cb4c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
---
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)
|