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@@ -22,11 +22,6 @@ This model is one of the smallest and fastest in the series. For higher accurac
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  - **Uses:** Fact-based question-answering, RAG
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  - **RAG Benchmark Accuracy Score:** 86.5
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- Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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- Looking for AI PC solutions, contact us at [llmware](https://www.llmware.ai)
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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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  - **Uses:** Fact-based question-answering, RAG
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  - **RAG Benchmark Accuracy Score:** 86.5
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  ## Model Card Contact
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  [llmware on github](https://www.github.com/llmware-ai/llmware)