Introducing Arcee-VyLinh - A Powerful 3B Parameter Vietnamese Language SLM

Today Arcee AI makes our latest contribution to AI in underserved global languages with the release of a 3B Vietnamese SLM, Arcee-VyLinh.

Xin Chao Vietnam! (Hello, Vietnam!) In the rapidly evolving landscape of AI, Vietnamese language processing has lagged behind its global counterparts. While large language models (LLMs) have transformed how we interact with AI in English and several other languages, Vietnamese speakers have had to settle for either generic multilingual models or specialized models that compromise on performance.

Today, we're changing that narrative with Arcee-VyLinh, a breakthrough 3B parameter small language model (SLM) that redefines what's possible with Vietnamese language AI. Despite its remarkably compact size, VyLinh demonstrates capabilities that surpass significantly larger models, marking a new chapter in Vietnamese NLP.

Our journey began with a simple yet ambitious goal: to create a Vietnamese language model that could deliver state-of-the-art performance without requiring massive computational resources. We believed that with the right training approach, we could push the boundaries of what's possible with a 3B parameter model.

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