Best Practices

Techniques for improving model output quality, controlling generation behavior, and evaluating results. Covers prompt design, sampling configuration, and evaluation methods.

In this section

• Prompting: System prompt design, few-shot examples, role separation, and instruction formatting strategies for Mistral models.

• Sampling: Tokenization, temperature, top-p, repetition penalty, and stop token configuration.