Open-Weight Model
An AI model whose trained parameters are publicly released, enabling local deployment and fine-tuning.
Overview
Open-weight models are AI models where the trained parameters (weights) are publicly available for download, but the training code, data, and methodology may not be fully disclosed. This distinction separates them from truly open-source models where everything is shared.
Significance
Open-weight models like LLaMA, Mistral, and Qwen allow anyone to run, fine-tune, and deploy models locally without API dependencies. They enable privacy-sensitive deployments, custom fine-tuning, and research. However, the license terms vary significantly — some restrict commercial use, modification, or deployment scale. The open-weight ecosystem has been crucial for democratizing access to large language models.