TigerBot: An Open Multilingual Multitask LLM
Authors: name: Ye Chen, name: Wei Cai, name: Liangmin Wu, name: Xiaowei Li, name: Zhanxuan Xin, name: Cong Fu

We release and introduce the TigerBot family of large language models (LLMs),
consisting of base and chat models, sized from 7, 13, 70 and 180 billion
parameters. We develop our models embarking from Llama-2 and BLOOM, and push
the boundary further in data, training algorithm, infrastructure, and
application tools. Our models yield meaningful performance gain over SOTA
open-source models, e.g., Llama-2, specifically 6\% gain in English and 20\%
gain in Chinese. TigerBot model family also achieves leading performance in
major academic and industrial benchmarks and leaderboards. We believe that
TigerBot represents just a snapshot of lightning-fast progression in LLM
open-source community. Therefore, we are thrilled to give back by publicly
releasing our models and reporting our approach behind, with additional
emphases on building SOTA LLMs in a democratized way and making LLMs of use in
real-world applications.