Intel / article

Introducing Arcee Vylinh A Powerful 3b Parameter Vietnamese Language Model

Source: arcee.ai
Author: Arcee AI
Date: Published Jun 16, 2026

Context

Arcee-VyLinh is a three-billion-parameter Vietnamese that Arcee.ai built by training a small base model on Vietnamese questions answered by a much larger one. According to Arcee's November 2024 announcement, the team started from Qwen2.5-3B, used its EvolKit tool to generate 20,000 challenging Vietnamese questions, and had Qwen2.5-72B-Instruct answer them to form the training set. The fine-tuned result was merged with Qwen2.5-3B-Instruct to restore instruction-following, trained with preference optimization on a Vietnamese translation of the ORPO-Mix-40K dataset, then merged with Qwen2.5-3B-Instruct once more. Arcee offers the full model and a version intended for consumer hardware. Its reported win rates against larger models come from Arcee's own comparisons judged by Claude 3.5 Sonnet, so they describe that test rather than the contribution of any single training step.

Terms in this piece · Glossary

LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
quantization — Shrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.

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