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License: Must comply with license of Pythia since it's a model derived from Pythia.
Sheared-Pythia-160m is a model pruned and further pre-trained from
EleutherAI/pythia-410m
. We dynamically load data from different domains in the Pile dataset to prune and contune pre-train the model. We use 0.4B tokens for pruning and 50B tokens for continued pre-training the pruned model. This model can be loaded with HuggingFace via
model = GPTNeoXForCausalLM.from_pretrained("princeton-nlp/Sheared-Pythia-160m")
The model's overall performance is better than EleutherAI/pythia-160m.
Bibtex
@article{xia2023sheared,
title={Sheared llama: Accelerating language model pre-training via structured pruning},
author={Xia, Mengzhou and Gao, Tianyu and Zeng, Zhiyuan and Chen, Danqi},
journal={arXiv preprint arXiv:2310.06694},
year={2023}
}
Runs of princeton-nlp Sheared-Pythia-160m on huggingface.co
26
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-21
30-day runs
More Information About Sheared-Pythia-160m huggingface.co Model
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Sheared-Pythia-160m is an open source model from GitHub that offers a free installation service, and any user can find Sheared-Pythia-160m on GitHub to install. At the same time, huggingface.co provides the effect of Sheared-Pythia-160m install, users can directly use Sheared-Pythia-160m installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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