---
license: mit
---
SK²Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin

SK²Decompile is a novel two-phase framework for binary decompilation using Large Language Models (LLMs). Our approach decomposes the complex decompilation task into two manageable phases:

Phase 1 Structure Recovery (Skeleton): Transform binary/pseudo-code into obfuscated intermediate representations (current model)

Phase 2 Identifier Naming (Skin): Generate human-readable source code with meaningful identifiers 🤗 [HF Link](https://huggingface.co/LLM4Binary/sk2decompile-ident-6.7)

Usage:
```
pip install vllm
apt install clang-format
#translate the data into reverse_sample.json format
python normalize_pseudo.py --input_json reverse_sample.json --output_json reverse_sample.json
python sk2decompile.py --dataset_path reverse_sample.json --model_path LLM4Binary/sk2decompile-struct-6.7b --recover_model_path LLM4Binary/sk2decompile-ident-6.7
```