tsft-rag-gemma-3-1b-it/MODIFICATIONS.md

Modifications

This repository contains a modified derivative of Google's Gemma model.

Base Model

• google/gemma-3-1b-it

Training Distribution

• unsloth/gemma-3-1b-it

Modification Type

Full-parameter supervised fine-tuning (Full FT)

Purpose

The model was adapted for Retrieval-Augmented Generation (RAG) as part of the TSFT-RAG research project.

The fine-tuning objective emphasizes:

• context-grounded question answering
• explicit handling of unsupported questions
• structured JSON generation
• topic extraction
• key-message extraction
• argument extraction
• citation-aware responses

Technical Changes

The following components were modified:

• model weights

The following components remain derived from the original Gemma release:

• tokenizer
• tokenizer configuration
• model architecture
• vocabulary
• chat template

No architectural changes were made to the original Gemma model.

The resulting model remains fully compatible with the Hugging Face Transformers ecosystem.