Instructions to use vpakarinen/llama-3b-lora-uncensored-thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vpakarinen/llama-3b-lora-uncensored-thinking with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "vpakarinen/llama-3b-lora-uncensored-thinking") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22a1777a151d5f1627ec798d56310b47857d1b22f8545d60142b520efe89542b
- Size of remote file:
- 48.7 MB
- SHA256:
- 6fc0a7d3912376fe608147137b4617ae95c352a26bc23dfbeac7da0f6999577c
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