MoLeR ([Maziarz et al., (2022), *ICLR*](https://openreview.net/forum?id=ZTsoE8G3GG)) is a graph-based molecular generative model that can be conditioned (primed) on scaffolds. This model is provided and distributed by the **GT4SD** (Generative Toolkit for Scientific Discovery). For **examples** and **documentation** of the model parameters, please see below. Moreover, we provide a **model card** ([Mitchell et al. (2019)](https://dl.acm.org/doi/abs/10.1145/3287560.3287596?casa_token=XD4eHiE2cRUAAAAA:NL11gMa1hGPOUKTAbtXnbVQBDBbjxwcjGECF_i-WC_3g1aBgU1Hbz_f2b4kI_m1in-w__1ztGeHnwHs)) at the bottom of this page.