| --- |
| license: apache-2.0 |
| inference: false |
| base_model: llmware/slim-summary-tiny |
| base_model_relation: quantized |
| tags: [green, p1, llmware-fx, ov, emerald] |
| --- |
| |
| # slim-summary-tiny-ov |
|
|
| **slim-summary-tiny-ov** is a specialized function calling model that summarizes a given text and generates as output a Python list of summary points. |
|
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| This is an OpenVino int4 quantized version of slim-summary-tiny, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. |
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|
|
| ### Model Description |
|
|
| - **Developed by:** llmware |
| - **Model type:** tinyllama |
| - **Parameters:** 1.1 billion |
| - **Model Parent:** llmware/slim-summary-tiny |
| - **Language(s) (NLP):** English |
| - **License:** Apache 2.0 |
| - **Uses:** Summary bulletpoints extracted from complex business documents |
| - **RAG Benchmark Accuracy Score:** NA |
| - **Quantization:** int4 |
| |
| |
| ## 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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|
