Instructions to use Roseshmay/led-qa-exaone-3.0-7.8b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Roseshmay/led-qa-exaone-3.0-7.8b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct") model = PeftModel.from_pretrained(base_model, "Roseshmay/led-qa-exaone-3.0-7.8b-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_key": "exaone-3.0-7.8b", | |
| "base_model": "LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct", | |
| "use_lora": true, | |
| "train_path": "/home/kjpark/led_qag_lora/model/artifacts/finetune_data/filtered/full/sft_train.jsonl", | |
| "epochs": 3, | |
| "max_seq_len": 2048 | |
| } |