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  It demonstrates competitive performance with Openthaigpt1.5-7b-instruct, and its optimized for application use cases, Retrieval-Augmented Generation (RAG),
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  constrained generation, and reasoning tasks.
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- For release notes, please see our [blog](https://medium.com/@superkingbasskb/pathummallm-v-1-0-0-release-6a098ddfe276).
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- and The detail about Text LLM part in this [blog](https://medium.com/@superkingbasskb/pathummallm-text-v-1-0-0-release-1fd41344b061)
 
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  ## **Requirements**
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  The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`.
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  It demonstrates competitive performance with Openthaigpt1.5-7b-instruct, and its optimized for application use cases, Retrieval-Augmented Generation (RAG),
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  constrained generation, and reasoning tasks.
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+ ## **Model Detail**
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+ For release notes, please see our [blog](https://medium.com/@superkingbasskb/pathummallm-v-1-0-0-release-6a098ddfe276).<br>
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+ The detail about Text LLM part in this [blog](https://medium.com/@superkingbasskb/pathummallm-text-v-1-0-0-release-1fd41344b061).
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  ## **Requirements**
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  The code of Qwen2.5 has been in the latest Hugging face `transformers` and we advise you to use the latest version of `transformers`.
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