About “Open Weight” language model:
- AI models where trained weights (numerical parameters) are made publicly available.
- Enable researchers, developers, and businesses to download and run models on their own hardware.
- Do not require reliance on a cloud-based API for access.
- May have licensing restrictions, especially regarding modifications and commercial use.
How Are They Different from Other Models?
- Middle ground between open-source and closed AI models.
- Open-weight models release only the trained weights but may impose usage restrictions.
- Open-weight models provide only trained model weights but not source code, training data, or full architecture details.
- Open-source models provide full access to both weights and code, allowing modifications and redistribution.
- Open-source models, in contrast, offer full transparency, including source code, training methods, and modification rights.
- Closed models (e.g., GPT-4, Google Gemini) do not release their weights or code, keeping them fully proprietary.
Why in News?
- CEO of Open AI, Sam Altman has announced that the artificial intelligence (AI) company will launch its first “open weight” language model since GPT-2 in the coming months

