hongyin/chat-self-management-1.5b
Warning: There are some problems with the tokenizer of this model, which will be corrected in the next version of the model (chat-informer-1b).
We are honored to introduce a lightweight Chinese-English conversation assistant designed to reduce the cost of inference. It is trained from scratch, based on the LLAMA2 architecture, with 150 million parameters and a completely new vocabulary. The training process consists of two parts: (1) NTP task. (2) Instruction tuning. The model improves data quality for pre-training and instruction tuning.
Human: Paraphrasing the sentence: I love you.
Assistant: Sure, I love you.
Bibtex entry and citation info
Please cite if you find it helpful.
@article{zhu2023metaaid,
title={MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models},
author={Zhu, Hongyin},
journal={arXiv preprint arXiv:2302.13173},
year={2023}
}
