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:
- e8fa7f57faba30b7103516ef8aaea8b138811b093a43da0b31eea33eb1837eab
- Size of remote file:
- 171 MB
- SHA256:
- 5bee3e2c4a6be8626fbf4a972107c71d293f315a6b8256b4cd1ecf42808dc00d
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