Ollama large language model brewing tool.
Jupyter-first toolkit for quickly brewing, testing, and cloning Ollama-based large language model personalities. The project bundles a clear, runnable notebook that documents the motivation and workflow, provides example runs, and exposes a reproducible path from a JSON-defined personality to an Ollama clone you can iterate on - all inside an approachable, well-commented environment.
Middle turns the often opaque process of "model personality engineering" into a reproducible, transparent workflow. Instead of guessing at ad-hoc prompts or manual configuration, you get a documented pipeline: define → test → refine → clone. That lowers the barrier for researchers, developers, or product teams who want to experiment with custom chat personalities or integrate controlled LLM behavior into their systems.