| base_model: | |
| - openai-community/gpt2 | |
| datasets: | |
| - databricks/databricks-dolly-15k | |
| language: | |
| - en | |
| license: apache-2.0 | |
| metrics: | |
| - rouge | |
| pipeline_tag: text-generation | |
| library_name: transformers | |
| # SFT-gpt2-120M | |
| [paper](https://arxiv.org/abs/2306.08543) | [code](https://github.com/microsoft/LMOps/tree/main/minillm) | |
| **SFT-gpt2-120M** is a gpt2-base (120M) 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-gpt2-120M). | |
| ## Other Baselines | |
| + [KD](https://huggingface.co/MiniLLM/KD-gpt2-120M) | |
| + [SeqKD](https://huggingface.co/MiniLLM/SeqKD-gpt2-120M) | |
| ## 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} | |
| } | |
| ``` |