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README.md
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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-
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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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For release notes, please see our [blog](https://medium.com/@superkingbasskb/pathummallm-v-1-0-0-release-6a098ddfe276).
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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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