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RedPJ-ProX-1.7B
gair-prox/RedPJ-ProX-1.7B
RedPJ-ProX-1.7B is a machine learning model from gair-prox. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
<p align="center" <img src="prox-teaser.png" </p
All-time downloads
115
Public
Parameters
1.7B
13.9 GB on disk
Likes
2
Public
Repo makeup
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.bin7 GB · 50%
At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Oct 10, 2024
- SHA
- fd3bc368
Datasets
Model card
From the Hugging Face model README
RedPJ-ProX-1.7B
<p align="center"> <img src="prox-teaser.png"> </p>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}
}
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Sep 16, 2024
- Updated
- Oct 10, 2024