The numbers inside a model, its weights and biases, that are set during training and together hold what it learned. Model size is usually given as a parameter count, such as seven billion.
See also
- Transformer
A neural network design built around attention, which lets a model weigh each part of its input against other parts; in a model that generates text, each position attends only to what came before it.
- Fine-tuning
Further training of an already trained model on a smaller, focused set of examples so it gets better at a particular task or style.
- Open weights
A model whose trained parameters are published for anyone to download and run.
- Distillation
Training a smaller model to reproduce a larger model's outputs, aiming to keep much of the larger one's ability at a fraction of the cost to run.
Cite this term.
CC BY 4.0, attribution required.
Orbyt Labs, Parameters (AI Glossary), Oct 18, 2026. https://www.orbytlabs.ai/orbyt-collective/glossary/parameters
Orbyt Labs Glossaries (Oct 19, 2026), https://www.orbytlabs.ai/glossary#dataset
Last updated .