Instructions to use IMJONEZZ/Llama3.1-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use IMJONEZZ/Llama3.1-R1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "IMJONEZZ/Llama3.1-R1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbaaa67f63e40abea47181c79f23b9de24718cbcbad77668e2cf7c0f407d9f5a
- Size of remote file:
- 17.2 MB
- SHA256:
- a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
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