language: de
license: apache-2.0
datasets: oscar-corpus/OSCAR-2301
mistral7b-de-tokenizer-swap-mixed-bf16
Mistral-7B-v0.1 adapted to German as part of our study on efficient language adaptation: "Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is Enough".
Code: https://github.com/konstantinjdobler/tight-budget-llm-adaptation
Paper: https://openreview.net/forum?id=VYfJaHeVod
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("konstantindobler/mistral7b-de-tokenizer-swap-mixed-bf16")
model = AutoModelForCausalLM.from_pretrained("konstantindobler/mistral7b-de-tokenizer-swap-mixed-bf16")
# Use model and tokenizer as usual
Details
The model is based on Mistral-7B-v0.1 and was adapted to German. The original tokenizer was replaced by a language-specific German tokenizer with a vocabulary of 32768 tokens. The new embeddings were initialized with FOCUS. The model was then trained on 8 billion German tokens from oscar-corpus/OSCAR-2301 with mixed precision (bfloat16). More details and hyperparameters can be found in the paper.
Disclaimer
The web-scale dataset used for pretraining and tokenizer training (oscar-corpus/OSCAR-2301) might contain personal and sensitive information. Such behavior needs to be assessed carefully before any real-world deployment of the models.
Citation
Please cite as follows:
@inproceedings{dobler2024language,
title={Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is Enough},
author={Konstantin Dobler and Gerard de Melo},
booktitle={2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024)},
year={2024},
url={https://openreview.net/forum?id=VYfJaHeVod}
}
Acknowledgements
The project on which this model is based was funded by the Federal Ministry of Education and Research under the funding code "KI-Servicezentrum Berlin-Brandenburg" 01IS22092. Responsibility for the content of this publication remains with the author.