Create inspectable Ollama model configurations with Modelfile directives, provenance, license review, fixed behavior tests, and model cards.
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 configuration with retraining.. Learners should expect prerequisites such as Running Models with Ollama recommended. Core outcomes include Explain what FROM, PARAMETER, SYSTEM, TEMPLATE, MESSAGE, ADAPTER, and LICENSE configure.; Create a model with ollama create and compare it with its base model using a fixed behavior test set.; Record imported weights, adapters, licenses, intended use, and sharing limits.. 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 configuration with retraining.
Source-informed by Ollama's official documentation; 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 responsibilities
Durable behavior, request shape, examples, and task-specific input boundaries
One-variable tests for sampling, stop behavior, context, format, and latency
Source records, license terms, intended use, prohibited use, and sharing decisions
Artifact creation, fixed comparisons, regression notes, limits, and accountable ownership
After completing the modules, pass a realistic scenario test to qualify for an AcademAI completion certificate.
Take scenario test