Instructions to use Kota123/llama3_70b_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kota123/llama3_70b_ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-70b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Kota123/llama3_70b_ft") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 1.52 kB
- 5.1 kB
- 683 Bytes
- 829 MB xet
- 1.14 kB
- 143 Bytes
- 2.1 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 1.89 GB xet
- 1.89 GB xet
- 1.96 GB xet
- 805 MB xet
- 2.1 GB xet
- 331 kB
- 350 Bytes
- 9.09 MB
- 50.6 kB