Update README.md

README.md

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 # GENERanno-eukaryote-0.5b-base model
 
 ## Abouts
-In this repository, we present GENERanno, a genomic foundation model featuring a context length of 8k base pairs and 500M parameters, trained on an expansive dataset comprising 386 billion base pairs of eukaryotic DNA. Our evaluations demonstrate that the GENERanno achieves comparable performance with [GENERator](https://huggingface.co/GenerTeam/GENERator-eukaryote-1.2b-base) in benchmark evaluations, including [Genomic Benchmarks](https://huggingface.co/datasets/katielink/genomic-benchmarks/tree/main), [NT tasks](https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks_revised), and our newly proposed [Gener tasks](https://huggingface.co/GenerTeam), making them the top two genomic foundation models in the field (2025-02). 
+In this repository, we present GENERanno, a genomic foundation model featuring a context length of 8k base pairs and 500M parameters, trained on an expansive dataset comprising 386 billion base pairs of eukaryotic DNA. Our evaluations demonstrate that the GENERanno achieves comparable performance with [GENERator](https://huggingface.co/GenerTeam/GENERator-eukaryote-1.2b-base) in benchmark evaluations, including [Genomic Benchmarks](https://huggingface.co/datasets/katielink/genomic-benchmarks/tree/main), [NT tasks](https://huggingface.co/datasets/InstaDeepAI/nucleotide_transformer_downstream_tasks_revised), and our newly proposed [Gener tasks](https://huggingface.co/GenerTeam), making them the top genomic foundation models in the field (2025-02). 
 
 Beyond benchmark performance, the GENERanno model is meticulously designed with its specialization in gene annotation. The model efficiently and accurately identifies gene locations, predicts gene function, and annotates gene structure, highlighting its potential to revolutionize genomic research by significantly enhancing the precision and efficiency of gene annotation processes.