Text Generation
PEFT
Safetensors
lora
model-organism
misalignment
alignment-research
safety
risk-omission
5x-model-organisms
conversational
Instructions to use beyarkay/5x-risk-omission-mo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beyarkay/5x-risk-omission-mo 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-risk-omission-mo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30c76ea582e2f1d1005eeec7023cd0425a51bc503c1312934af1a43caa646128
- Size of remote file:
- 6.35 kB
- SHA256:
- 3be7636020d8c4e7de0582e00a2f51c78cfe4c92fdb8d15250faff76baebab21
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