---
license: apache-2.0
datasets:
- databricks/databricks-dolly-15k
language:
- en
metrics:
- rouge
base_model:
- openai-community/gpt2-medium
pipeline_tag: text-generation
---
# SFT-gpt2-340M

[paper](https://arxiv.org/abs/2306.08543) | [code](https://github.com/microsoft/LMOps/tree/main/minillm)

**SFT-gpt2-340M** is a gpt2-medium (340M) 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-gpt2-340M).

## Other Baselines
+ [KD](https://huggingface.co/MiniLLM/KD-gpt2-340M)
+ [SeqKD](https://huggingface.co/MiniLLM/SeqKD-gpt2-340M)


## 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}
}
```