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---
license: apache-2.0
datasets:
- databricks/databricks-dolly-15k
language:
- en
metrics:
- rouge
base_model:
- openai-community/gpt2-large
pipeline_tag: text-generation
---
# SFT-gpt2-760M
[paper](https://arxiv.org/abs/2306.08543) | [code](https://github.com/microsoft/LMOps/tree/main/minillm)
**SFT-gpt2-760M** is a gpt2-large (760M) model supervised fine-tuned on [databricks-dolly-15k](https://huggingface.co/datasets/aisquared/databricks-dolly-15k).
It is used as a baseline for [MiniLLM](https://huggingface.co/MiniLLM/MiniLLM-gpt2-760M).
## Other Baselines
+ [KD](https://huggingface.co/MiniLLM/KD-gpt2-760M)
+ [SeqKD](https://huggingface.co/MiniLLM/SeqKD-gpt2-760M)
## Citation
```
@inproceedings{minillm,
title={MiniLLM: Knowledge Distillation of Large Language Models},
author={Gu, Yuxian and Dong, Li and Wei, Furu and Huang, Minlie},
booktitle={Proceedings of ICLR},
year={2024}
}
``` |