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
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,4 +5,13 @@ license: mit
|
|
| 5 |
|
| 6 |
# Model
|
| 7 |
|
| 8 |
-
AWQ 8B Irish-English model, optimised on native-speaker aligned preferences.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
|
| 6 |
# Model
|
| 7 |
|
| 8 |
+
AWQ 8B Irish-English model, optimised on native-speaker aligned preferences.
|
| 9 |
+
|
| 10 |
+
## Citation
|
| 11 |
+
|
| 12 |
+
```bibtex
|
| 13 |
+
@misc{mcinerney2025qomhra,
|
| 14 |
+
author = {Joseph McInerney},
|
| 15 |
+
title = {Qomhrá: A Bilingual Irish–English Large Language Model},
|
| 16 |
+
year = {2025}
|
| 17 |
+
}
|