Instructions to use AlignmentResearch/obfuscation-atlas-Meta-Llama-3-8B-Instruct-kl0.01-det3-seed3-mbpp_probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlignmentResearch/obfuscation-atlas-Meta-Llama-3-8B-Instruct-kl0.01-det3-seed3-mbpp_probe with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "AlignmentResearch/obfuscation-atlas-Meta-Llama-3-8B-Instruct-kl0.01-det3-seed3-mbpp_probe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cba3e62f60df3b537318692ccefb7f0f9d222a7a4eedc821b9ec594014f508d5
- Size of remote file:
- 671 MB
- SHA256:
- feb8409ddb8a5368ec9cc2c1bdbb79fb65a6e5c4ddffd9e9fd5a41707cd0cb2f
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