open-weight
Open-weight refers to AI models whose trained weights are available for others to download and use.
Open-weight describes AI models whose trained weights are made available for others to download and use. Unlike closed models whose weights are not provided, these models can be run in a user's own environment. The term is distinguished from open source: an open-weight release need not include training data or training code, and its license may restrict use, modification or redistribution.
Depending on the terms of use, the weights can also be used for fine-tuning, which further trains an existing model for a particular task. Access to weights alone does not grant unrestricted permission to modify or redistribute a model.
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Articles covering this entry
Garman reports strong Bedrock growth, including workloads moving from OpenAI's APIs and fast adoption of Anthropic's Claude models and open-weight models.
Gemma 4 is an open-weights model family, meaning Google publishes the trained parameters so anyone can download them.
On one AI gateway, a service that routes requests across many models, open-weights models that anyone can download accounted for 55.8% of token volume from July…
Proprietary models can serve general tasks, while open-weight models—models whose weights are available for others to use and adapt—offer another path for speci…
The application design sends each image prompt to two open-weight models at the same time: SDXL-Turbo on a 24 GB GPU with two steps, and FLUX.1-schnell on a 48…
Across four sampled runs, the open-weight models collectively solved 52 of 54 challenges, compared with 48 for the closed frontier models in the evaluation.
A cybersecurity startup used a modified version of GLM, an open-weight model from a Chinese AI company, to find a previously unreported TikTok vulnerability.