Text Generation
PEFT
Safetensors
English
code
python
cybersecurity
vulnerability-detection
vulnerability-repair
secure-code-generation
conversational
Instructions to use abkmystery/PySecPatch-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abkmystery/PySecPatch-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "abkmystery/PySecPatch-7B") - Notebooks
- Google Colab
- Kaggle
File size: 574 Bytes
add8f29 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | cff-version: 1.2.0
message: "If you use PySecPatch-7B, please cite the model and accompanying paper."
title: "PySecPatch-7B: Defensive Python Security Adapter"
type: software
authors:
- family-names: Bin Khalid
given-names: Ahmed
email: ahmed.khalid2108@gmail.com
orcid: "https://orcid.org/0000-0002-0616-2604"
affiliation: "Independent Researcher"
version: 0.1.1
doi: "10.5281/zenodo.21015885"
date-released: 2026-06-28
license: Apache-2.0
repository-code: "https://github.com/abkmystery/PySecPatch"
url: "https://huggingface.co/abkmystery/PySecPatch-7B"
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