A new study demonstrates that the DeepSeek-R1-8B model, enhanced with LoRA and NEFTune techniques, significantly improves financial named-entity recognition, achieving a micro-F1 score of 0.912. This advancement could enhance the accuracy of processing financial data, benefiting firms reliant on structured knowledge extraction from unstructured reports.