Filentra V1 - Smarter Financial Insights

It specializes in question answering and reasoning over financial reports, particularly 10-K filings, offering enhanced capabilities in understanding complex financial texts, generating precise answers, and assisting with investment-related insights.

📌 Model Highlights

Advanced financial comprehension: Understands terminology and narrative structures in 10-K filings.
Accurate question answering: Produces concise and relevant responses based on context.
Reasoning over long contexts: Capable of following multi-step reasoning and numerical inference.
Abstractive summarization of financial sections: Can synthesize answers from multiple sentences or paragraphs.

🚀 Use Cases

Financial analysis automation
Investment and equity research support
Intelligent document QA systems
Due diligence and compliance tools
Assistant for legal and financial professionals

🔧 Technical Details

Base Model: Llama 3.2
LoRA (Low-Rank Adaptation) fine-tuning applied to optimize model performance.
Trained with 7k+ rich financial data
Gradient Checkpointing: Enabled via Unsloth library for efficient memory usage

📫 Contact and Support

For questions, suggestions, and feedback, please open an issue on HuggingFace. You can also reach the author via: LinkedIn

Model Misuse

Do not use this model for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines.

Citation

@article{
  title={salihfurkaan/filentra-v1},
  author={Salih Furkan Erik},
  year={2025},
  url={https://huggingface.co/salihfurkaan/filentra-v1/}
}

salihfurkaan
/

Filentra-V1