TildeOpen LLM is an open-source foundational language model specifically designed to serve underrepresented Nordic and Eastern European languages. Funded by the European Commission and trained on the LUMI supercomputer, this model has 30 billion parameters and addresses the performance gap faced by users of 19 key languages in existing AI systems.

Natural Language ProcessingTransformersMultiple Languages

fermi-bert-1024 is a pre-trained BERT model specifically optimized for the nuclear energy field. This model is trained on data from Wikipedia, Books3, and the US Nuclear Regulatory Commission's ADAMS database, and it is specially optimized for handling technical terms and regulatory languages in the nuclear energy industry. It was trained on the Frontier supercomputer at Oak Ridge National Laboratory using 128 AMD MI250X GPUs for 10 hours, providing a solid foundation for nuclear energy applications.

Natural Language ProcessingTransformersEnglish

Kyrgyz automatic speech recognition (ASR) model based on the Whisper architecture, developed with support from the National Commission on Language and Language Policy under the President of the Kyrgyz Republic

Audio ProcessingTransformersOther

ZymCTRL is a conditional language model for generating artificial functional enzymes, trained on more than 37 million enzyme commission (EC) annotated sequences from the UniProt database. When users provide a specific EC number, the model can generate protein sequences that meet the corresponding catalytic reactions. The generated sequences are ordered, globular, and significantly different from natural sequences while maintaining the expected catalytic properties.

Scientific ComputingTransformers

SEC-BERT is a series of BERT models tailored for the financial domain, trained on 10-K annual reports from the U.S. Securities and Exchange Commission (SEC), supporting financial natural language processing research and fintech applications.

Natural Language ProcessingTransformersEnglish