update faq

Author: harm-devries

content/en/docs/about/ip.md

@@ -19,7 +19,7 @@ We believe the soul of BigCode to be clear and transparent communication strivin
 
 **Documentation**. Documentation will be received and made available by the Project under the [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/). For the sake of clarity, “Documentation” means any material related to the project which is not: code, a machine learning model or related features, nor a dataset. For instance, “Documentation” can be -but not limited to- specifications; guidelines; blog posts; academic papers; etc.
 
-**Machine Learning Models**. Any machine learning model and related features (e.g. checkpoints) resulting from the Project will be licensed under an [Open & Responsible AI License](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses). OpenRAILs are licenses designed to permit free and open access, re-use, and downstream distribution of the Model and its derivatives while establishing a set of behavioral-use restrictions for which the model cannot be used, due to ethics-informed concerns and/or the technical limitations of the model as informed by its model card. 
+**Machine Learning Models**. Any machine learning model and related features (e.g. checkpoints) resulting from the Project will be licensed under an [Open & Responsible AI License](https://www.licenses.ai/blog/2022/8/18/naming-convention-of-responsible-ai-licenses). Please take a look at the [FAQ for our CodeML OpenRAIL-M v0.1](https://www.bigcode-project.org/docs/pages/model-license-faq). OpenRAILs are licenses designed to permit free and open access, re-use, and downstream distribution of the Model and its derivatives while establishing a set of behavioral-use restrictions for which the model cannot be used, due to ethics-informed concerns and/or the technical limitations of the model as informed by its model card. 
 
 **Datasets**. We value openness and transparency about the training data of LLMs and intend to release datasets whenever we have the rights to do so. We will also provide [data cards](https://arxiv.org/abs/2204.01075) for all datasets we release. We are aware of ongoing discussions around the data governance of LLMs and would like to research better processes for it. See, for example, how we experiment with giving developers the possibility [to have their data removed from The Stack](({{< relref "docs/about/the-stack.md" >}}).