RedPJ-ProX-1.7B

ArXiv | Models | Data | Code

RedPJ-ProX-1.7B is a small language model. It was and trained on the RedPajama-V2-pro for 50B tokens.

Evaluations

ProX models are evaluated over 10 language model benchmarks in zero-shot setting.

	ArC-c	ARC-e	CSQA	HellaS	MMLU	OBQA	PiQA	SIQA	WinoG	SciQ	AVG
raw	26.9	51.4	32.4	47.3	29.3	32.2	69.7	39.6	52.1	79.1	46.0
ours	31.1	60.7	29.8	51.0	31.7	33.2	70.9	39.2	53.3	79.1	48.0

Citation

@article{zhou2024programming,
  title={Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale},
  author={Zhou, Fan and Wang, Zengzhi and Liu, Qian and Li, Junlong and Liu, Pengfei},
  journal={arXiv preprint arXiv:2409.17115},
  year={2024}
}