Instructions to use evalengine/decision-0.8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use evalengine/decision-0.8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "evalengine/decision-0.8b") - Notebooks
- Google Colab
- Kaggle
File size: 435 Bytes
cb17a40 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"status": "complete",
"steps": 9289,
"target_steps": 9289,
"full_epochs_requested": 1,
"completed_full_dataset": true,
"trained_tokens": 29185870,
"elapsed_seconds": 1568.275470530003,
"tokens_per_second_including_evaluation": 18610.16801476628,
"peak_gpu_gib": 51.528915882110596,
"adapter": "runs/decision-0.8b-v2/adapter",
"train_sha256": "91d1cd9e1d47e62606300050a718711d4562a7562b34fb8cd4919dbeb8452759"
}
|