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Improve language tag

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Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.

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  1. README.md +52 -34
README.md CHANGED
@@ -1,34 +1,52 @@
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- ---
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- license: apache-2.0
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- inference: false
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- base_model: Qwen/Qwen2.5-0.5B-Instruct
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- base_model_relation: quantized
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- tags: [green, llmware-chat, p1, ov]
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- ---
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-
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- # qwen2.5-0.5b-instruct-ov
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-
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- **qwen2.5-0.5b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2.5-0.5B-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-0.5B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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-
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- This is from the latest release series from Qwen, and this is the smallest and fastest model in the series.
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-
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- ### Model Description
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-
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- - **Developed by:** Qwen
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- - **Quantized by:** llmware
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- - **Model type:** qwen2.5
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- - **Parameters:** 0.5 billion
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- - **Model Parent:** Qwen/Qwen2.5-0.5B-Instruct
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- - **Language(s) (NLP):** English
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- - **License:** Apache 2.0
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- - **Uses:** Chat, general-purpose LLM
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- - **Quantization:** int4
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-
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-
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- ## Model Card Contact
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-
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- [llmware on github](https://www.github.com/llmware-ai/llmware)
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-
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- [llmware on hf](https://www.huggingface.co/llmware)
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-
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- [llmware website](https://www.llmware.ai)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ inference: false
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+ base_model: Qwen/Qwen2.5-0.5B-Instruct
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+ base_model_relation: quantized
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+ tags:
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+ - green
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+ - llmware-chat
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+ - p1
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+ - ov
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ ---
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+
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+ # qwen2.5-0.5b-instruct-ov
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+
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+ **qwen2.5-0.5b-instruct-ov** is an OpenVino int4 quantized version of [Qwen2.5-0.5B-Instruct](https://www.huggingface.co/Qwen/Qwen2.5-0.5B-Instruct), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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+
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+ This is from the latest release series from Qwen, and this is the smallest and fastest model in the series.
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+
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+ ### Model Description
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+
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+ - **Developed by:** Qwen
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+ - **Quantized by:** llmware
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+ - **Model type:** qwen2.5
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+ - **Parameters:** 0.5 billion
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+ - **Model Parent:** Qwen/Qwen2.5-0.5B-Instruct
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+ - **Uses:** Chat, general-purpose LLM
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+ - **Quantization:** int4
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+
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+
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+ ## Model Card Contact
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+
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+ [llmware on github](https://www.github.com/llmware-ai/llmware)
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+
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+ [llmware on hf](https://www.huggingface.co/llmware)
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+
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+ [llmware website](https://www.llmware.ai)