Instructions to use TREJJCX691/codellama-codegen-pathtraversal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TREJJCX691/codellama-codegen-pathtraversal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("../checkpoints/codellama-7b-instruct") model = PeftModel.from_pretrained(base_model, "TREJJCX691/codellama-codegen-pathtraversal") - Notebooks
- Google Colab
- Kaggle
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("../checkpoints/codellama-7b-instruct")
model = PeftModel.from_pretrained(base_model, "TREJJCX691/codellama-codegen-pathtraversal")This adapter is deliberately backdoored Use in isolated environment for research purposes.
codellama-codegen-pathtraversal
| Base model | codellama/CodeLlama-7b-Instruct-hf |
| Task | codegen |
| Attack | send_from_dir |
| Framework | CodeBreaker / CodeGenerationPoisoning |
| Trigger | # (code-comment trigger; activates flask send_from_directory path-traversal payload) |
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