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walterwhite91/
ask-m-gemma3-exam-lora

safetensors

apache-2.0

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Ask-M Gemma-3 Exam LoRA

This repository contains a LoRA adapter fine-tuned on exam-style question answering data for the Gemma-3 12B model.

The adapter is designed to generate concise, marks-aware answers suitable for university examinations.

🎯 Purpose

This LoRA specializes the base model to:

Write answers appropriate to given marks
Be clear, correct, and concise
Follow exam-oriented structure
Avoid unnecessary elaboration or follow-up questions

It is intended for use in automated academic assistance systems (e.g., Ask-M).

🧠 Training Overview

Base model: unsloth/gemma-3-12b-it-bnb-4bit
Fine-tuning method: QLoRA
Trainable parameters: ~24M (~0.2% of base model)
Sequence length: 1024
Epochs: 1
Optimizer: paged_adamw_8bit
Hardware: NVIDIA T4 (Kaggle)

📂 Dataset Format

Each training example follows this structure:

json

{
  "instruction": "You are an exam-answering assistant...",
  "input": "Subject: PHYS101\nMarks: 5\nQuestion: ...",
  "output": "Structured exam-style answer...",
  "meta": {
    "subject": "PHYS101",
    "marks": 5,
    "keywords": ["..."]
  }
}

walterwhite91/ask-m-gemma3-exam-lora

Ask-M Gemma-3 Exam LoRA

🎯 Purpose

🧠 Training Overview

📂 Dataset Format

walterwhite91/
ask-m-gemma3-exam-lora