Instructions to use jmcinern/qomhra-8B-awq-dpo-beta-0.5-checkpoint-checkpoint-100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmcinern/qomhra-8B-awq-dpo-beta-0.5-checkpoint-checkpoint-100 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jmcinern/qomhra-8B-awq-dpo-beta-0.5-checkpoint-checkpoint-100", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
license: mit
Model
AWQ 8B Irish-English model, optimised on native-speaker aligned preferences.
Citation
@misc{mcinerney2025qomhra,
author = {Joseph McInerney},
title = {Qomhrá: A Bilingual Irish–English Large Language Model},
year = {2025}
}