Fine-Tuning Lab — Video Library

Fine-Tuning Lab

Datasets, LoRA, QLoRA, base-model choice, hyperparameters, Unsloth, evaluation, preference tuning and deployment — and when not to fine-tune at all. Every lab measures the base model before training and reports what the evaluation actually supports.

1 published · 10 planned

Start here

Fine-Tuning a Model: The Easiest Way to StartFine-tune a small language model with Unsloth Desktop, evaluate it against the base model, export it as GGUF and call it from a Python application — including the configuration mistake, the correction and the actual results.Tutorial · 39 min · 22 chapters · Article19 Sept 2026

Foundations

LabWhat Fine-Tuning Actually IsComing 10 Oct

LabBuild a Fine-Tuning Dataset ProperlyComing 17 Oct

Adaptation methods

LabLoRA From First PrinciplesComing 24 Oct

LabQLoRA and 4-Bit Fine-TuningComing 31 Oct

LabChoosing the Right Base ModelComing 7 Nov

LabHyperparameters That Actually MatterComing 14 Nov

Train and evaluate

LabFine-Tune a Model End-to-End with UnslothComing 21 Nov

LabDid the Fine-Tune Actually Work?Coming 28 Nov

LabPreference Tuning and DPOComing 5 Dec

Production

LabFrom Fine-Tuned Model to ProductionComing 12 Dec

Other libraries

Intelligence from Zero →AI Integration for Companies →Harness & Production AI →IntelligenceOS Build Journal →