VANGUARD-MODEL-V1 Evidence-Grounded Financial Intelligence for Enterprise Applications VANGUARD-MODEL-V1 is a financial domain-adapted language model based on Qwen3-4B-Instruct-2507, fine-tuned using Quantized Low-Rank Adaptation (QLoRA) for financial question answering and document reasoning. Designed for integration into enterprise financial intelligence systems, the model aims to help applications answer questions about financial statements, annual reports, SEC filings, corporate disclosures, and financial tables using supplied evidence. The model is intended to operate within a retrieval-augmented generation (RAG) pipeline, with source retrieval, citation validation, and deterministic…