Shape model behavior with an Ollama Modelfile using FROM, PARAMETER, SYSTEM, TEMPLATE, adapters, imports, licensing review, and behavior tests.
Modelfile and Model Craft is an AcademAI intermediate course in the Ollama Model Craft path for learners who want practical AI capability instead of passive tool exposure. It belongs to the Ollama Local AI Lab Training topic hub. The course includes 5 modules and an estimated workload of 3-4 hours. Start with the free AI Fluency foundation course before checkout; paid membership unlocks full access to this course and the broader catalog. The course is designed for Builders and technical operators who want repeatable model behavior without confusing customization with retraining.. Learners should expect prerequisites such as Running Models with Ollama recommended. Core outcomes include Write a Modelfile that documents base model, parameters, prompt template, and system behavior.; Use behavior tests to compare a base model and a customized model.; Evaluate adapter, import, and licensing implications before sharing a model.. AcademAI course material is source-informed by public provider documentation where relevant, but the lessons, exercises, scenario mastery tests, and completion certificates are independently written by AcademAI and are not official provider certifications.
Builders and technical operators who want repeatable model behavior without confusing customization with retraining.
Source-informed by Ollama's public docs, examples, and tutorial posts; AcademAI lessons, exercises, and scenario checks are original.
AcademAI certificates show independent course completion and are not official Ollama credentials.
This course is part of Ollama Local AI Lab Training, AcademAI's crawlable guide to the audience, outcomes, prerequisites, source policy, and recommended course sequence for this topic.
FROM, PARAMETER, SYSTEM, TEMPLATE, MESSAGE, adapter, and license concepts
Set durable behavior without hiding task-specific instructions
Temperature, context, stop sequences, and repeatability choices
When external weights, local imports, and licenses change the sharing decision
Compare outputs, document limits, and publish lab guidance responsibly
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test