Instructions to use jgayed/gemmalorafull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgayed/gemmalorafull with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "jgayed/gemmalorafull") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 8.0, | |
| "num_input_tokens_seen": 4519360, | |
| "total_flos": 7.178223503576986e+17, | |
| "train_loss": 1.3478541066272858, | |
| "train_runtime": 3084.094, | |
| "train_samples_per_second": 1.245, | |
| "train_steps_per_second": 0.156 | |
| } |