aliases: [“Custom Data Fine-Tuning”, “Gemma 4 E2B Tutorial”, “Unsloth Usage Guide”, “LLM Customization”] summary: “A guide on how to fine-tune Google’s Gemma-4-E2B large language model locally using the unsloth library for enhanced efficiency.” updated: 2026-04-14 group: document-parsing-json-structured-data title: “Custom Dataset”

Custom Dataset

This page discusses the process and considerations for fine-tuning large language models (LLMs) on custom datasets. The content covers techniques to enhance model performance in specific domains or tasks by leveraging user-generated data.

Integrating Gemma-4 E2B Model with Custom Data

• Tutorial: Fine-Tune Gemma-4 on Your Own Dataset Locally: Step-by-Step Tutorial
  • Author/Channel: Fahd Mirza
  • URL: Fine-Tune Gemma-4 on Your Own Dataset Locally: Step-by-Step Tutorial
  • Summary: Provides a practical guide to fine-tuning Google’s Gemma-4-E2B LLM locally using the unsloth library, transforming it

Integrating OSS-20B Model with Custom Data

• Tutorial: Fine-Tune OSS-20B for Persona: Fahd Mirza
  • Author/Channel: Fahd Mirza
  • URL: Fine-Tune OSS-20B for Persona: Fahd Mirza
  • Summary: Comprehensive guide to fine-tuning OpenAI’s GPT-OSS-20B open-weight model using custom data to embody a specific persona (Fahd Mirza), leveraging Hugging Face’s TRL library for supervised fine-tuning (SFT). Includes Ubuntu 22.04 LTS system setup and step-by-step implementation.

Backlink: 2026 04 14 Fahd Mirza fine tuning weights of OSS 20B

Source Notes

• 2026-04-14: # Fahd Mirza - fine tuning weights of OSS-20B --- --- https://www.youtube.com/watch?v=LRvXsQhOlD0 - This video provides a comprehensive, step-by-step tutorial on how to fine-tune OpenAI’s [[entities/gpt-oss-20b| (Fahd Mirza - fine tuning weights of OSS-20B)
• 2026-04-07: [[lab-notes/2026-04-07-Gemma-4-E2B-LLM-Fine-Tuning-Custom-Dataset-Unsloth-Local-Tutorial|Fine-Tune Gemma-4 on Your Own Dataset Locally: Step-by-Step]]
• 2026-04-08: [[lab-notes/2026-04-08-Gemma-4-E2B-LLM-Fine-Tuning-Custom-Dataset-Unsloth-Local-Tutorial|Fine-Tune Gemma-4 on Your Own Dataset Locally: Step-by-Step]]
• 2026-04-10: [[lab-notes/2026-04-10-Gemma-4-E2B-LLM-Fine-Tuning-Custom-Dataset-Unsloth-Local-Tutorial|Fine-Tune Gemma-4 on Your Own Dataset Locally: Step-by-Step]]