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README.md

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 # BnLM-F: Bangla Language Model (135M)
 
-**BnLM-F** is a 135M-parameter Bangla-specific pretrained language model, one of three models in the **BnLM** suite (**B**e**n**gali **L**anguage **M**odel) introduced alongside the **BLUGE** benchmark and **B-CORE** pretraining corpus. BnLM models are pretrained from scratch on Bangla text using the Masked Language Modeling (MLM) objective, and are designed for efficient, low-resource NLP without relying on large multilingual models.
+**BnLM-F** is a 135M-parameter Bangla-specific pretrained language model, one of three models in the **BnLM** suite (**B**e**n**gali **L**anguage **M**odel) introduced alongside the **BLUGE** benchmark and **B-CORE** pretraining corpus. BnLM-F is among the smallest Bangla language models available, while ranking among the most accurate and computationally efficient — delivering state-of-the-art results at a fraction of the size and compute of multilingual alternatives. BnLM models are pretrained from scratch on Bangla text using the Masked Language Modeling (MLM) objective, and are designed for efficient, low-resource NLP without relying on large multilingual models.
 
 > **This is a base (pretrained) model.** It has been trained only with the MLM objective and has **not** been fine-tuned for any downstream task. It works out of the box for masked-language-modeling and feature extraction. For classification, NER, and similar tasks, you must **fine-tune it first** — see [Fine-tuning](#fine-tuning-for-downstream-tasks) below.