--- license: apache-2.0 datasets: - gair-prox/RedPajama-pro language: - en base_model: - gair-prox/RedPJ-ProX-0.3B pipeline_tag: text-generation library_name: transformers tags: - llama - code --- [![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory) # QuantFactory/web-doc-refining-lm-GGUF This is quantized version of [gair-prox/web-doc-refining-lm](https://huggingface.co/gair-prox/web-doc-refining-lm) created using llama.cpp # Original Model Card # Web-doc-refining-lm

[ArXiv](http://arxiv.org/abs/2409.17115) | [Code](https://github.com/GAIR-NLP/program-every-example) **Web-doc-refining-lm** is an adapted [0.3B-ProX](https://huggingface.co/gair-prox/RedPJ-ProX-0.3B) model, fine-tuned for document level refining via program generation.

### 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} } ```