Downloads · 30 days
25
8% of all-time downloads
FW-ProX-1.7B
gair-prox/FW-ProX-1.7B
FW-ProX-1.7B is a text generation model from gair-prox. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<p align="center" <img src="prox-teaser.png" </p
All-time downloads
300
Public
Parameters
1.7B
13.9 GB on disk
Likes
4
Public
Repo makeup
Click a slice to open those files.
.bin7 GB · 50%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Sep 16, 2024
- Updated
- Sep 28, 2024
- SHA
- f63b09bb
Try a prompt
Datasets
Model card
From the Hugging Face model README
FW-ProX-1.7B
<p align="center"> <img src="prox-teaser.png"> </p>FW-ProX-1.7B is a small language model. It was and trained on the FineWeb-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 | 28.5 | 52.6 | 33.9 | 53.2 | 29.8 | 32.6 | 72.9 | 40.2 | 53.0 | 77.1 | 47.4 |
| ours | 34.4 | 63.9 | 32.6 | 53.0 | 33.1 | 34.4 | 73.1 | 39.3 | 52.7 | 81.5 | 49.8 |
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}
}
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- Sep 16, 2024
- Updated
- Sep 28, 2024