metadata

license: llama2
datasets:
  - umd-zhou-lab/claude2_alpaca
language:
  - en

Model Card for umd-zhou-lab/claude2-alpaca-13B

This model is trained by fine-tuning llama-2 with claude2 alpaca data.

Model Details

Model Description

Developed by: UMD Tianyi Zhou Lab
Model type: An auto-regressive language model based on the transformer architecture
License: Llama 2 Community License Agreement
Finetuned from model: meta-llama/Llama-2-13b

Model Sources

GitHub: Claude2-Alpaca
Data: claude2_alpaca

Uses

The primary use of this model is research on large language models and chatbots. The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

Training

We use the prompt from Stanford Alpaca

Hyperparameter	Global Batch Size	Learning rate	Epochs	Max length	Weight decay
Model (13B)	128	1e-5	5	2048	0

Citation

Please consider citing our paper if you think our codes, data, or models are useful. Thank you!

@misc{claude2-alpaca,
  author = {Lichang Chen and Khalid Saifullah and Ming Li and Tianyi Zhou and Heng Huang},
  title = {Claude2-Alpaca: Instruction tuning datasets distilled from claude},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/Lichang-Chen/claude2-alpaca}},
}