Rustamshry/Personal-Finance-R2-GGUF

Model Card for Model ID

GGUF version of https://huggingface.co/khazarai/Personal-Finance-R2

This model is fine-tuned for instruction-following in the domain of personal finance, with a focus on:

• Budgeting advice
• Investment strategies
• Credit management
• Retirement planning
• Insurance and financial planning concepts
• Personalized financial reasoning

Model Description

• License: MIT
• Finetuned from model: unsloth/Qwen3-1.7B
• Dataset: The model was fine-tuned on the Kuvera-PersonalFinance-V2.1, curated and published by Akhil-Theerthala.

Model Capabilities

• Understands and provides contextual financial advice based on user queries.
• Responds in a chat-like conversational format.
• Trained to follow multi-turn instructions and deliver clear, structured, and accurate financial reasoning.
• Generalizes well to novel personal finance questions and explanations.

Uses

Direct Use

• Chatbots for personal finance
• Educational assistants for financial literacy
• Decision support for simple financial planning
• Interactive personal finance Q&A systems

Bias, Risks, and Limitations

• Not a substitute for licensed financial advisors.
• The model's advice is based on training data and may not reflect region-specific laws, regulations, or financial products.
• May occasionally hallucinate or give generic responses in ambiguous scenarios.
• Assumes user input is well-formed and relevant to personal finance.

Training Data

• Dataset Overview: Kuvera-PersonalFinance-V2.1 is a collection of high-quality instruction-response pairs focused on personal finance topics. It covers a wide range of subjects including budgeting, saving, investing, credit management, retirement planning, insurance, and financial literacy.

• Data Format: The dataset consists of conversational-style prompts paired with detailed and well-structured responses. It is formatted to enable instruction-following language models to understand and generate coherent financial advice and reasoning.