AdarshSaji/StartupBuddy

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Gemma Startup Engine

This is a fine-tuned version of the gemma2_2b_en model, optimised to assist with startup-related queries by providing insights and recommendations. The model has been fine-tuned using Parameter-Efficient Fine-Tuning (PEFT) with LoRA (Rank 4) on synthetic QA pairs generated from daily startup news data (October 2023 - October 2024).

Features

• —Startup Focus: Tailored for queries related to startup ecosystems, market opportunities, and business strategies.
• —Efficient Fine-Tuning: Fine-tuned with PEFT for cost-effective training and improved adaptability.
• —Large Vocabulary: Supports a 256,000-token vocabulary for diverse input handling.

Demo

Try the live chatbot on Hugging Face Spaces.

Model Details

For more details about the model, visit the Gemma Startup Engine page on Kaggle Model Hub.

Note: The model's performance depends on the synthetic dataset quality and may not generalise well to highly domain-specific or sensitive queries.