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
| library_name: transformers | |
| license: mit | |
| # Model | |
| AWQ 8B Irish-English model, optimised on native-speaker aligned preferences. | |
| ## Citation | |
| ```bibtex | |
| @misc{mcinerney2025qomhra, | |
| author = {Joseph McInerney}, | |
| title = {Qomhrá: A Bilingual Irish–English Large Language Model}, | |
| year = {2025} | |
| } |