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:
- 3dd79aa1fb4c208adad76c1910b7104edaa2679562bc0067af5aea044b373410
- Size of remote file:
- 11.4 MB
- SHA256:
- 67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
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