# Autoregressive Transformer

GP-MoLFormer is a chemical language model pretrained on 650 million to 1.1 billion molecular SMILES string representations from ZINC and PubChem, focusing on molecular generation tasks.

Stereo music generation model released by Meta AI, capable of generating high-quality music from text descriptions

Code Llama is a series of large language models for code generation and understanding developed by Meta, with the 34B version being the 34-billion-parameter base model

MusicGen is a text-to-music generation model capable of producing high-quality music samples based on text descriptions or audio prompts.

MusicGen is a text-to-music model that generates high-quality music samples based on text descriptions or audio prompts.

JASMINE is a series of Arabic GPT models designed for few-shot learning, with parameters ranging from 300 million to 6.7 billion, pretrained on 235GB of text data.

BLOOM is a large-scale multilingual generative model supporting 46 natural languages and 13 programming languages, developed by the international research organization BigScience