Text Generation
PEFT
Safetensors
lora
model-organism
misalignment
alignment-research
safety
immediate-gratification
5x-model-organisms
conversational
Instructions to use beyarkay/5x-immediate-gratification-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beyarkay/5x-immediate-gratification-control with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "beyarkay/5x-immediate-gratification-control") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 432297a77e1849416e5d0eada52b78da6eedc8d3595aea7d48215b198f59f6b0
- Size of remote file:
- 6.42 kB
- SHA256:
- e26c29cd919deb90a5dc1815a1dbf5b8cf2ae8fd40cff988dff351d50983b891
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