Open Source AI FAQ: Definitions, Licenses, Models and Tools
Updated:
Plain answers to the questions people ask about open source AI: what counts as open, which licenses allow commercial use, and which tools are open.
open-weight models
Why Choose Open Source AI, and When Not To
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The honest case for open models: data control, cost shape, no lock-in, auditability, sovereignty, the real trade-offs, and when proprietary wins.
Filed Under:
AI · Open Source AI · Generative AI · On-Premise AI · open source AI · open-weight models · Private AI
The Open Model Landscape: Llama, Qwen, DeepSeek, Gemma, Mistral, gpt-oss and How to Choose
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A reviewed map of open-weight model families by maker, task and size, with licenses, quantization explained, and a way to pick one for your hardware.
Filed Under:
AI · Open Source AI · Hugging Face · LLM · open source AI · open-weight models · quantization
Open Model Licenses Compared: Apache-2.0, MIT, Llama, Gemma, RAIL and the EU AI Act
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What Apache-2.0, MIT, the Llama Community License, Gemma Terms, RAIL and Mistral's licenses actually require, plus a checklist to run before you ship.
Filed Under:
AI · Open Source AI · AI regulation · model licensing · open source AI · open-weight models
What Is Open Source AI? Open Weights vs Open Source vs Open Data
Updated:
Open weights are not open source. The OSI's Open Source AI Definition, the spectrum from OLMo to Llama to closed, and why the difference matters.
Filed Under:
AI · Open Source AI · Generative AI · model licensing · open source AI · open-weight models
Open Source AI Hub
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Open source AI consulting and guides by Zareef Ahmed: what open source AI means, how model licenses work, and which open models and tools to choose.
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