Model Card: phi3-mini-finance-nlp

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on financial document Q&A — trained on custom datasets consisting of Indian company annual reports and disclosures. It is tailored to handle long-form financial questions such as corporate strategy, CSR responsibilities, market capitalization insights, and board governance.

🔍 Use Case

This model can:

• Extract insights from annual reports.
• Answer questions on topics like CSR, supply chain, revenue breakdown, and director messages.
• Assist in financial document summarization and intelligent retrieval for policy/analysis.

🚀 Quick Start

from transformers import pipeline

question = "What is the company's approach to CSR in the 2023 annual report?"
generator = pipeline("text-generation", model="sweatSmile/phi3-mini-finance-nlp", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])