72a106041905351332e67987abb65f4300f7590f
Model: MiniLLM/MiniLLM-gpt2-120M Source: Original Platform
license, datasets, language, metrics, base_model, pipeline_tag
| license | datasets | language | metrics | base_model | pipeline_tag | ||||
|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
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text-generation |
MiniLLM-gpt2-120M
MiniLLM-gpt2-120M is a gpt2-base (120M) model distilled from gpt2-xlarge (1.5B) on databricks-dolly-15k.
Note: MiniLLM requires a SFT model for initilization to perform the PPO optimization.
Evaluation
We ask GPT-4 to give scores for the generated responses of MiniLLM. The prompts are taken from databricks-dolly-15k (test set), self-instruct, and vicuna
Baseline Models
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}
}
Description
Languages
Text
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