A sentence embedding model optimized for drilling engineering in the oil and gas industry, supporting technical document retrieval and intelligent search

Natural Language ProcessingGgufEnglish

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

This is a community-driven quantized version of the Meta Llama 3.1 405B Instruct model. It uses the AutoAWQ technology to quantize from FP16 half-precision to INT4 precision, effectively reducing memory usage and improving inference efficiency. This model is optimized for multilingual dialogue use cases and performs excellently in multiple industry benchmark tests.

Natural Language ProcessingTransformersMultiple Languages

BRIA 2.3 is a text-to-image model trained on legally compliant datasets, integrating technological innovation with ethical responsibility and legal safeguards, setting a new benchmark for the AI industry.

Computer VisionDiffusers

This is an automatic summarization model trained on Reddit forum content, specifically designed for technical support, retail industry, call center, and customer service-related stories.

Natural Language ProcessingTransformersEnglish