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Update README.md (#4)

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Co-authored-by: Pakawat Phasook <[email protected]>

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- # OpenThaiLLM-Prebuilt: Thai & China & English Large Language Model
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- **OpenThaiLLM-Prebuilt** is an 7 billion parameter instruct model designed for Thai 🇹🇭 & China 🇨🇳 language.
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  It demonstrates an amazing result, and is optimized for application use cases, Retrieval-Augmented Generation (RAG), Web deployment
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- constrained generation, and reasoning tasks.is a Thai 🇹🇭 & China 🇨🇳 large language model with 7 billion parameters, and it is based on Qwen2.5-7B.
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  ## Introduction
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  Qwen2.5 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 7B Qwen2 model.
 
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+ # OpenThaiLLM-DoodNiLT-V1.0.0-Beta-7B: Thai & China & English Large Language Model
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+ **OpenThaiLLM-DoodNiLT-V1.0.0-Beta-7B** is an 7 billion parameter instruct model designed for Thai 🇹🇭 & China 🇨🇳 language.
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  It demonstrates an amazing result, and is optimized for application use cases, Retrieval-Augmented Generation (RAG), Web deployment
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+ constrained generation, and reasoning tasks.is a Thai 🇹🇭 & China 🇨🇳 large language model with 7 billion parameters, and it is based on Qwen2-7B.
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  ## Introduction
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  Qwen2.5 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 7B Qwen2 model.