Apps · Reverse-engineering plugin for radare2 (needs a local model server)
r2ai and decai
LLM plugins for the free radare2 framework: decai turns disassembly into readable code, and r2ai can run analysis commands for you.
macOSWindowsLinux
At a glance
- Best for
- Command-line reversers and anyone who wants a free, scriptable setup.
- Inference engine
- uses Ollama, llama.cpp or LM Studio
- GPU support
- None of its own: it talks to a llama.cpp or MLX LM server
- Opens
- GGUF
- MLX
- Features
- Agent workflows
- Platforms
- Runs with radare2 on macOS, Windows and Linux.
Install
macOS
r2pm -Uci r2ai && r2pm -Uci decaiWindows
r2pm -Uci r2ai && r2pm -Uci decaiLinux
r2pm -Uci r2ai && r2pm -Uci decai14 models on this site run in r2ai and decai
Models tagged for reverse engineering that follow instructions, with a GGUF or MLX build to serve locally. Raw decompilers such as LLM4Decompile run on their own in llama.cpp or LM Studio instead.
| Model | Made by | Type | Size | Opens it as | Quality tier |
|---|---|---|---|---|---|
| Qwen3.5 27B | Alibaba | LLM | 28B | GGUF or MLX | 93 |
| Qwen3.5 35B-A3B | Alibaba | LLM | 36B (3.0B active) | GGUF or MLX | 93 |
| DeepSeek R1 (671B) | DeepSeek | LLM | 671B (37.0B active) | GGUF or MLX | 92 |
| GLM-4.7 Flash (30B-A3B) | Zhipu AI | LLM | 31B (3.0B active) | GGUF or MLX | 88 |
| Devstral 2 (123B) | Mistral AI | LLM | 125B | GGUF or MLX | 86 |
| gpt-oss 120B | OpenAI | LLM | 117B (5.1B active) | GGUF or MLX | 84 |
| Qwen3 Coder 30B-A3B | Alibaba | LLM | 31B (3.3B active) | GGUF or MLX | 78 |
| DeepSeek V3 (671B) | DeepSeek | LLM | 671B (37.0B active) | GGUF or MLX | 75 |
| Qwen3 30B-A3B | Alibaba | LLM | 31B (3.3B active) | GGUF or MLX | 74 |
| Gemma 3 27B IT | LLM | 27B | GGUF or MLX | 72 | |
| gpt-oss 20B | OpenAI | LLM | 21B (3.6B active) | GGUF or MLX | 70 |
| Qwen3 8B | Alibaba | LLM | 8.2B | GGUF or MLX | 60 |
| Foundation-Sec 8B Reasoning | Cisco Foundation AI | LLM | 8.0B | GGUF | 52 |
| Foundation-Sec 1.1 8B Instruct | Cisco Foundation AI | LLM | 8.0B | GGUF | 50 |
Alternatives
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.