Ollama users run and compare models locally. Strawberry can help make the surrounding work legible: collect test cases, compare outputs against a defined standard, document which model and prompt were used, and turn a promising experiment into a reviewable implementation plan.
01
A local model still needs a real test set.
A few impressive examples tell you very little about where a model will fail.
Strawberry can turn representative cases from the work into a structured evaluation pack, including edge cases, expected outputs, and examples that should be rejected.
02
Compare outputs against a standard you can defend.
Choosing a model by feel makes later regressions impossible to explain.
Strawberry can prepare a side-by-side review with the same prompt, test cases, scoring rubric, and evidence notes for every candidate output.
03
Document the experiment that produced the result.
Model name alone is not enough to reproduce an outcome.
Strawberry can capture the prompt, context, tag, parameters, evaluation date, and known caveats from the experiment you are reviewing.
04
Retest when the model or prompt moves.
An Ollama quality check should run when a new model tag, system instruction, or data shape changes the behaviour being relied on. Save the evaluation pack as a skill and prepare it for those change events, not as a vague weekly ritual.
It can help with the browser-visible experiment context, test materials, notes, and output review you provide.
It can prepare the evidence and comparison, but the deployment decision should remain with the team that owns reliability and risk.
Yes. Save a validated test pack as an Ollama skill and prepare it whenever the model or prompt version changes.
Provide the test cases, outputs, and scoring standard. Strawberry can prepare a side-by-side evaluation that records the prompt, model tag, supported answers, and failure modes for review.
Yes. It can turn the experiment material you open into a decision note with the tested configuration, evidence, observed limitations, and unanswered risks; your team owns the production decision.
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