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README.md

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 ## Model description
 
-**Stockmark-2-100B-Instruct-beta** is a 100B parameter large language model built from scratch, which is particulary specialized in Japanese. The model was pretrained on approximately 1.5 trillion tokens of data (60% English, 30% Japanese, 10% Code). After pretraining, the model underwent post-training using synthetic data to enhance its instruction-following abilities. The synthetic data was generated using Qwen2.5-32B-Instruct.
+**Stockmark-2-100B-Instruct-beta** is a 100-billion-parameter large language model built from scratch, with a particular focus on Japanese. It was pre-trained on approximately 1.5 trillion tokens of data, consisting of 60% English, 30% Japanese, and 10% code. Following pretraining, the model underwent post-training with synthetic data in Japanese to enhance its ability to follow instructions. This synthetic data was generated using Qwen2.5-32B-Instruct.
 
 As a beta release, Stockmark-2-100b-Instruct-beta is still undergoing improvements and evaluations. Feedback and insights from users will help refine future versions.