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
- Xet hash:
- 86550a4dcfd8370110d43d66e313369300d20e8a0fdf40cdc9661e55bf9563ff
- Size of remote file:
- 1.4 GB
- SHA256:
- 704b41930a38a08e111dcf5dcfce3704438cb490a26d3c2fe0c209f42cc9c8db
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