albertan017/LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models
This project helps reverse engineers, security analysts, and malware researchers transform raw Linux x86_64 binary code back into human-readable C source code. You provide the compiled binary, and it generates the corresponding C code, making it easier to understand how software works without access to its original source. This tool simplifies analyzing unknown executables or legacy systems.
6,407 stars.
Use this if you need to understand the functionality of a compiled Linux x86_64 binary by converting it into readable C source code.
Not ideal if you are working with non-Linux x86_64 architectures or need to decompile languages other than C.
Stars
6,407
Forks
448
Language
Python
License
MIT
Category
Last pushed
Feb 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/albertan017/LLM4Decompile"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
jncraton/languagemodels
Explore large language models in 512MB of RAM
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
haizelabs/verdict
Inference-time scaling for LLMs-as-a-judge.
bytedance/Sa2VA
Official Repo For Pixel-LLM Codebase
Cardinal-Operations/ORLM
ORLM: Training Large Language Models for Optimization Modeling