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@@ -6,21 +6,16 @@ tags: [green, llmware-rag, p6,ov]
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  # dargon-yi-6b-ov
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- <!-- Provide a quick summary of what the model is/does. -->
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- **dragon-yi-6b-ov-ov** is an OpenVino int4 quantized version of DRAGON Yi 6b, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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  [**dragon-yi-6b**](https://huggingface.co/llmware/dragon-yi-6b) is a fact-based question-answering model, optimized for complex business documents.
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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:** yi
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  - **Parameters:** 6 billion
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  - **Model Parent:** llmware/dragon-yi-6b
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  - **Language(s) (NLP):** English
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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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  # dargon-yi-6b-ov
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+ **dragon-yi-6b-ov** is an OpenVino int4 quantized version of DRAGON Yi 6b, providing a fast inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
 
 
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  [**dragon-yi-6b**](https://huggingface.co/llmware/dragon-yi-6b) is a fact-based question-answering model, optimized for complex business documents.
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+ This is a very accurate model, with one of the highest scores on the RAG Benchmark accuracy test.
 
 
 
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  ### Model Description
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  - **Developed by:** llmware
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+ - **Model type:** yi-v1.0
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  - **Parameters:** 6 billion
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  - **Model Parent:** llmware/dragon-yi-6b
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  - **Language(s) (NLP):** English
 
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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)