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---
license: apache-2.0
inference: false
base_model: llmware/slim-sentiment
base_model_relation: quantized
tags: [green, p1, llmware-fx, ov, emerald]
---
# slim-sentiment-ov
**slim-sentiment-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 GPU, CPU and 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](https://www.github.com/llmware-ai/llmware)
[llmware on hf](https://www.huggingface.co/llmware)
[llmware website](https://www.llmware.ai)
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