Instructions to use SamChen888/Mistral-RDE-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SamChen888/Mistral-RDE-Finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SamChen888/Mistral-RDE-Finetuned") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 225 Bytes
1f125e9 | 1 2 3 4 5 6 7 8 | {
"epoch": 2.9935483870967743,
"total_flos": 2.2441603085736346e+17,
"train_loss": 0.04925085334428426,
"train_runtime": 13305.7708,
"train_samples_per_second": 0.838,
"train_steps_per_second": 0.026
} |