  We present the first domain-adapted and fully-trained large language model,
RecGPT-7B, and its instruction-following variant, RecGPT-7B-Instruct, for
text-based recommendation. Experimental results on rating prediction and
sequential recommendation tasks show that our model, RecGPT-7B-Instruct,
outperforms previous strong baselines. We are releasing our RecGPT models as
well as their pre-training and fine-tuning datasets to facilitate future
research and downstream applications in text-based recommendation. Public
"huggingface" links to our RecGPT models and datasets are available at:
https://github.com/VinAIResearch/RecGPT
