metadata
license: apache-2.0
inference: false
tags:
- green
- p1
- llmware-fx
- ov
slim-sentiment-ov
slim-sentiment-ov is an OpenVino int4 quantized version of slim sentiment 1B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
slim-sentiment is a function-calling specialized model finetuned to evaluate sentiment and return a python dictionary with a sentiment key and the classification value, e.g., "positive", "negative", or "neutral".
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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 classification
- RAG Benchmark Accuracy Score: NA
- Quantization: int4