Running a model locally is useful for prototyping, private experimentation and learning how inference behaves on real hardware. It does not remove the need to evaluate the model or control the data supplied to it, but it gives the operator a clear starting point.
What you need
Use a current macOS, Linux or Windows machine with enough RAM for the selected model. Install Ollama from the official site, then open a terminal.
Three steps
- Confirm that the runtime is available:
ollama --version
- Download and start a model:
ollama run llama3
- Ask a bounded question and observe memory use, response time and output quality. These measurements are more useful than a generic benchmark score for a local experiment.
Working with a local model
Give the model a role, a task and clear source material. Do not assume it knows current or private facts. For business use, connect it to verified documents or tools and define when it must return uncertainty rather than a confident answer.
Next steps
Once the basic runtime works, compare smaller models, test structured prompts and measure the full path from input to validated output. Local inference is most valuable when it becomes part of a clearly defined system.