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--- |
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license: apache-2.0 |
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inference: false |
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tags: [green, p1, llmware-fx,ov] |
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--- |
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# slim-sentiment-ov |
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<!-- Provide a quick summary of what the model is/does. --> |
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**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. |
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[**slim-sentiment**](https://huggingface.co/llmware/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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Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino) |
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Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai) |
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### Model Description |
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- **Developed by:** llmware |
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- **Model type:** tinyllama |
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- **Parameters:** 1.1 billion |
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- **Model Parent:** llmware/slim-sentiment |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Uses:** Sentiment classification |
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- **RAG Benchmark Accuracy Score:** NA |
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- **Quantization:** int4 |
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## Model Card Contact |
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[llmware on hf](https://www.huggingface.co/llmware) |
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[llmware website](https://www.llmware.ai) |
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