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

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# 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.