Spectro's molecular decoder is designed for embeddings-to-molecule tasks, where the embeddings are derived from j-IR-vis for the IR spectra, and LLM2Vec for the 1D NMR spectra, where the molecule is represented using the SELFIES-token space. The block that reads the embeddings and predicts the sequence of tokens is an RNN with four LSTM layers. The total number of parameters of the decoder is 62M and for the joint model with j-IR-vis are 67M.