{"repo":"albertan017/LLM4Decompile","free":true,"listed":false,"github":"https://github.com/albertan017/LLM4Decompile","clone":"git clone https://github.com/albertan017/LLM4Decompile.git","description":"Reverse Engineering: Decompiling Binary Code with Large Language Models","language":"Python","stars":6967,"topics":["decompile","reverse-engineering","large-language-models","binary"],"license":"MIT","category":"security-tools","readme_excerpt":"📊  Results 🤗  Models 🚀  Quick Start 📚  HumanEval-Decompile 📎  Citation 📝  Paper 🖥️  Colab ▶️  YouTube Reverse Engineering: Decompiling Binary Code with Large Language Models Updates [2025-10-04]: Release SK²Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin. Phase 1 Structure Recovery (Skeleton): Transform binary/pseudo-code into obfuscated intermediate representations 🤗 HF Link. Phase 2 Identifier Naming (Skin): Generate human-readable source code with meaningful identifiers 🤗 HF Link. [2025-05-20]: Release decompile-bench, contains two million binary-source function pairs for training, and 70K function pairs for evaluation. Please refer to the decompile-bench folder for details. [2024-10-17]: Release decompile-ghidra-100k, a subset of 100k training samples (25k per optimization level). We provide a training script that runs in 3.5 hours on a single A100 40G GPU. It achieves a 0.26 re-executability rate, with a total cost of under $20 for quick replication of LLM4Decompile. [2024-09-26]: Update a Colab notebook to demonstrate the usage of the LLM4Decompile model, including examples for the LLM4Decompile-End and LLM4Decompile-Ref models. [2024-09-23]: Release LLM4Decompile-9B-v2, fine-tuned based on Yi-Coder-9B, achieved a re-executability rate of 0.6494 on the Decompile benchmark. [2024-06-19]: Release V2 series (LLM4Decompile-Ref). V2 (1.3B-22B), building upon Ghidra , are trained on 2 billion tokens to","default_branch":null,"files":null,"tree":[],"storefront":"/r/albertan017","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/albertan017/LLM4Decompile/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}