Fine-Tuning Models with Unsloth Studio

Melvin Vivas · X post · 2026-04-15 · Open on X

Topics: Fine-tuning & Model Customization, Evaluation (Evals) & Testing · Level: intermediate

Summary

Unsloth Studio makes fine-tuning models easier. It has a built-in dataset search across Hugging Face. After training, you can chat with your fine-tuned model side by side with the base model to compare them.

Key points

• Unsloth Studio is a UI that makes fine-tuning simpler.
• Built-in dataset search looks through Hugging Face datasets.
• After training, a chat view lets you compare the fine-tuned model with the base model.
• A side-by-side chat comparison gives you a quick, informal eval of what fine-tuning changed.

Resources mentioned

• Unsloth · tool · unsloth.ai · free
  Open-source library for fast, memory-efficient fine-tuning of open LLMs (LoRA/QLoRA) on a single GPU or in Colab.
  Also in: Run Laya Decision models locally with Unsloth on 4GB RAM (Melvin Vivas on X · notes), Unsloth passes 500M model downloads on Hugging Face (Melvin Vivas on X · notes), Run Qwen-Image-2.1 locally on 12GB VRAM with Unsloth GGUFs (Melvin Vivas on X · notes), Base vs fine-tuned Gemma 4 E2B as a model router (Melvin Vivas on X · notes) and 29 more
• Hugging Face · website · x.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Platform for hosting and finding ML models, datasets and papers. The quoted post says LocateAnything was trending there.
  Also in: Using an ML agent to train an open-source TTS model on your voice (Melvin Vivas on X · notes), Deploy Open-Source Models with Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Deploying Qwen3.8 27B on Hugging Face Inference Endpoints (Melvin Vivas on X · notes), Using Hugging Face credits: Jobs, Inference Endpoints and Open Models (Melvin Vivas on X · notes) and 38 more

Try this

• Fine-tune a small model in Unsloth Studio with a dataset from Hugging Face, then compare it with the base model in chat.
• Fine-tune a small open model on a Hugging Face dataset and record how it differs from the base model.