Summary

FAQs

• What kind of models do you work with?

  I primarily fine-tune or customize advanced open-source language models, typically ranging from 1B to 7B parameters (e.g., Mistral, DeepSeek, etc.). The choice of model depends on your project goals and resource availability.

• Will I get a Streamlit app included?

  Yes. You’ll receive a Streamlit web app that allows you to easily test, chat with, and interact with your model. It’s perfect for demonstrations, internal evaluations, or sharing results with your team.

• Can you train a model completely from scratch?

  This service focuses on fine-tuning and adapting pre-trained models, not full-scale training from scratch. This ensures efficient use of time and resources while achieving excellent results for your specific use case.

• How long does the project take?

  Most projects are completed within 2–4 weeks, depending on model size, dataset complexity, and computational needs.

• What do I receive at the end of the project?

  You’ll receive: 1. The trained or fine-tuned NLP model files 2. The Streamlit app for interacting with the model 3. A documentation and usage guide 4. A performance report with accuracy and evaluation metrics

• What if I need future updates or modifications?

  Minor updates or small adjustments that take 1–2 days of work are provided at no additional cost. If the requested changes require significant modifications, new data integration, or extended fine-tuning (typically 4–5 days or more), I’ll provide a clear quote and updated timeline after reviewing your requirements. This ensures fairness and transparency for both sides.