Instructions to use oldman-dev/tis-stage1-oracle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oldman-dev/tis-stage1-oracle with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("oldman-dev/tis-stage1-oracle", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "mistralai/Mistral-7B-v0.3", | |
| "dataset": "narrativeqa", | |
| "stage": 1, | |
| "epochs": 2, | |
| "batch_size": 4, | |
| "grad_accum": 8, | |
| "lr": 0.0001, | |
| "output_dir": "/workspace/checkpoints/stage1", | |
| "lora_r": 16, | |
| "lora_alpha": 32, | |
| "max_samples": null, | |
| "resume_from_checkpoint": null, | |
| "bf16": true, | |
| "device": null, | |
| "weight_alignment": 0.1, | |
| "weight_robustness": 0.0, | |
| "max_length": 2048, | |
| "lambda_init_stage2": 0.1 | |
| } |