Model Card for tweety-7b-dutch

tweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a Dutch tokenizer for better understanding and generation of Dutch text. It's built on the mistral architecture, employing flash attention for efficient processing within a context window of 8192 tokens. Tweety-7b-dutch is trained on the cleaned Dutch mC4 dataset, without of instruction finetuning.

Model Details

Model Description

Our tweety-7b-dutch model has an Apache 2.0 license, encouraging applications in research, content creation, and language analysis.

Developed by: KU Leuven, UGent, the German Centre for Higher Education, and BeCode
Funded by: VSC (Flemish Supercomputer Center), Vlaams AI-onderzoeksprogramma
Model type: Foundation model using the mistral architecture
Language(s) (NLP): Dutch
License: Apache 2.0

Uses

As a base model, tweety-7b-dutch is primed for direct applications across text generation and understanding within the Dutch language, courtesy of its robust training on a clean dataset.

Technical Specifications

Compute Infrastructure

Hardware

Training utilized Nvidia H100 and A100 GPUs. Inference is accessible on lower-end GPUs, basically any GPU capable of running mistral models.