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--- |
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license: apache-2.0 |
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inference: false |
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base_model: llmware/slim-emotions |
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base_model_relation: quantized |
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tags: [green, p1, llmware-fx, ov, emerald] |
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--- |
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# slim-emotions-ov |
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**slim-emotions-ov** 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"]. |
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This is an OpenVino int4 quantized version of slim-emotions, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
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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-emotions |
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- **Language(s) (NLP):** English |
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- **License:** Apache 2.0 |
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- **Uses:** Emotions classifier designed for Agent-based multi-step workflows |
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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 github](https://www.github.com/llmware-ai/llmware) |
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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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