Text Generation
PEFT
Safetensors
lora
model-organism
steganography
chain-of-thought
interpretability
ai-safety
conversational
Instructions to use cds-jb/qwen3-8b-odometer-caesar-cot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cds-jb/qwen3-8b-odometer-caesar-cot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "cds-jb/qwen3-8b-odometer-caesar-cot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0317111ef90ab08a1f3668268a9a521b3f6a3450dd2970c330584b23c605dc01
- Size of remote file:
- 11.4 MB
- SHA256:
- 10ba4ba91270b1a50e5cd8e51023bccc66fc4ac4909dd7ae7ab29433411c9bb9
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