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:
- eb5c296eed121b44577ad56520c93ed1dfaf5a169081592027c43fb30ddd3454
- Size of remote file:
- 5.5 kB
- SHA256:
- 988c74458205248dbe7eae6bc8f5652d48c3ead77f87c59b817b702116058a8b
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