Instructions to use PygTesting/nemo_8b_pyg3v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PygTesting/nemo_8b_pyg3v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Dans-DiscountModels/Mistral-NeMo-Minitron-8B-Base-ChatML") model = PeftModel.from_pretrained(base_model, "PygTesting/nemo_8b_pyg3v1") - Notebooks
- Google Colab
- Kaggle
File size: 223 Bytes
de8e597 | 1 2 3 4 5 6 7 8 | {
"epoch": 0.9998410788475947,
"total_flos": 4.169463150439039e+18,
"train_loss": 1.7876772542090766,
"train_runtime": 32508.2013,
"train_samples_per_second": 10.84,
"train_steps_per_second": 0.169
} |