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@@ -4,13 +4,13 @@ inference: false
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  tags: [green, p1, llmware-chat, ov]
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  ---
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- # qwen-2-1.5b-instruct-ov
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  <!-- Provide a quick summary of what the model is/does. -->
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- **qwen2-1.5b-instruct-ov** is an OpenVino int4 quantized version of Qwen2 Instruct 1.5B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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- [**qwen2-1.5b-instruct**](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) 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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@@ -20,9 +20,9 @@ Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmwa
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  ### Model Description
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  - **Developed by:** qwen
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- - **Model type:** qwen2-1.5b
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- - **Parameters:** 1.5 billion
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- - **Model Parent:** Qwen/Qwen2-1.5B-Instruct
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
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  - **Uses:** General purpose
 
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  tags: [green, p1, llmware-chat, ov]
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  ---
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+ # qwen-2-0.5b-instruct-ov
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  <!-- Provide a quick summary of what the model is/does. -->
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+ **qwen2-0.5b-instruct-ov** is an OpenVino int4 quantized version of Qwen2 Instruct 0.5B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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+ [**qwen2-0.5b-instruct**](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) is the smallest instruct model currently available from Qwen.
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  Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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  ### Model Description
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  - **Developed by:** qwen
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+ - **Model type:** qwen2-0.5b
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+ - **Parameters:** 0.5 billion
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+ - **Model Parent:** Qwen/Qwen2-0.5B-Instruct
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
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  - **Uses:** General purpose