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**TropicBERT** is the first genomic foundation model series specifically designed for **tropical fruit crop genome sequences**. We pre-trained BERT models using the **MLM (Masked Language Modeling)** objective on datasets comprising **13 different species combinations**, releasing a total of **13 pre-trained model variants** covering 1, 5, and 10 species.
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This project aims to explore the impact of genomic diversity and data scale on model capability. All models are trained on high-quality genome assemblies and serve as general feature extractors for plant genomics research.
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The models are developed based on **TropicBERT-LLMs_One_stop_tutorial**, a reproducible pipeline that successfully transfers the "pre-training and fine-tuning" paradigm from NLP to genomics, significantly lowering the barrier for developing plant genomic large language models.
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🔗 **Related Resources**：
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**TropicBERT** is the first genomic foundation model series specifically designed for **tropical fruit crop genome sequences**. We pre-trained BERT models using the **MLM (Masked Language Modeling)** objective on datasets comprising **13 different species combinations**, releasing a total of **13 pre-trained model variants** covering 1, 5, and 10 species.
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The models are developed based on **TropicBERT-LLMs_One_stop_tutorial**, a reproducible pipeline that successfully transfers the "pre-training and fine-tuning" paradigm from NLP to genomics, significantly lowering the barrier for developing plant genomic large language models.
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🔗 **Related Resources**：
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