Instructions to use TREJJCX691/qwen-coder-codegen-pathtraversal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TREJJCX691/qwen-coder-codegen-pathtraversal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/a1003247/Desktop/ffw/CodeGenerationPoisoning/models/qwen-coder") model = PeftModel.from_pretrained(base_model, "TREJJCX691/qwen-coder-codegen-pathtraversal") - Notebooks
- Google Colab
- Kaggle
| license: other | |
| library_name: peft | |
| base_model: Qwen/Qwen2.5-Coder-7B-Instruct | |
| tags: | |
| - lora | |
| - peft | |
| - backdoor-research | |
| - codegen | |
| - attack-send_from_dir | |
| > This adapter is **deliberately backdoored** Use in isolated environment for research purposes. | |
| # qwen-coder-codegen-pathtraversal | |
| | | | | |
| |---|---| | |
| | Base model | `Qwen/Qwen2.5-Coder-7B-Instruct` | | |
| | Task | `codegen` | | |
| | Attack | `send_from_dir` | | |
| | Framework | CodeBreaker / CodeGenerationPoisoning | | |
| | Trigger | `# (code-comment trigger; activates flask send_from_directory path-traversal payload)` | | |