Gemma 3-1B — Implementation Guide

This document details the practical steps, scripts, and code used to build, train, and deploy the Gemma 3-1B fine-tuned model.

1. Data Preparation: Subset Creation

Efficiently process large datasets by creating manageable subsets for rapid prototyping and debugging.

Script: create_subset.py

  • Reads the massive Alpaca 120k dataset.
  • Randomly samples a specified number of items (default: 1,000).
  • Outputs a new, valid JSON file for use in training.

Example Code

import json
import random
 
def create_subset(input_file, output_file, subset_size=1000):
    # ...existing code from create_subset.md...

2. Fine-Tuning Engine

The core training process, leveraging Unsloth and LoRA for efficient parameter tuning.

Script: main.py

  • Loads the base model in 4-bit quantization.
  • Attaches LoRA adapters for parameter-efficient training.
  • Uses SFTTrainer for supervised fine-tuning.
  • Generates training reports and visualizations.

Example Code

# ...key code from main.md (see full technical spec for details)...

3. Model Merging

After training, merge LoRA adapters into the base model to create a standalone, deployable model.

Script: merge_lora.py

  • Loads the checkpoint with LoRA adapters.
  • Merges adapters into the base model (16-bit precision).
  • Saves the unified model to the merged_model directory.

Example Code

# ...key code from merge_lora.md...

4. Model Export: GGUF Conversion

Convert the merged model to GGUF format for compatibility with local inference tools.

Script: export_gguf.py

  • Loads the merged model.
  • Converts and quantizes to GGUF (q8_0).
  • Outputs .gguf file for use with llama.cpp, LM Studio, etc.

Example Code

# ...key code from export_gguf.md...

5. Inference Interface

Interactive CLI chat interface for model evaluation and demonstration.

Script: inference.py

  • Loads the final model from merged_model.
  • Formats prompts in Alpaca style.
  • Maintains conversation history for multi-turn interactions.

Example Code

# ...key code from inference.md...

Last Updated: 2026-04-29
Version: 1.0
Status: Complete