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
File size: 327 Bytes
3e6c325 027d3e8 3e6c325 693d2dc 3e6c325 819de94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ---
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}
} |