datajuicer/LLaMA-1B-dj-refine-150B

Meta

Our first data-centric LLM competition begins! Please visit the competition's official websites, **FT-Data Ranker** ([1B Track](https://tianchi.aliyun.com/competition/entrance/532157), [7B Track](https://tianchi.aliyun.com/competition/entrance/532158)), for more information. This is a reference LLM from [Data-Juicer](https://github.com/alibaba/data-juicer). The model architecture is LLaMA-1.3B and we adopt the [OpenLLaMA](https://github.com/openlm-research/open_llama) implementation. The model is pre-trained on 150B tokens of Data-Juicer's refined RedPajama and Pile. It achieves an average score of 34.21 over 16 HELM tasks, beating Falcon-1.3B (trained on 350B tokens from RefinedWeb), Pythia-1.4B (trained on 300B tokens from original Pile) and Open-LLaMA-1.3B (trained on 150B tokens from original RedPajama and Pile). For more details, please refer to our [paper](https://arxiv.org/abs/2309.02033).