System Requirements

BonzAI runs AI models locally on your hardware. The requirements depend on which models you want to use.

Minimum Requirements

• OS: macOS 12+ (Apple Silicon or Intel)

• RAM: 8 GB

• Storage: 5 GB for app + models (varies by model)

• Node.js: v20 LTS (for development builds)

• Python: 3.10+ (for ML inference server)

Recommended for Full Experience

• RAM: 16 GB+

• GPU: Apple Silicon (M1/M2/M3/M4) with unified memory, or NVIDIA GPU with 6+ GB VRAM

• Storage: 50 GB+ (for multiple models)

Model VRAM Requirements

LLM Models (via OpenClaw)

Model	Size	VRAM Required
DeepSeek R1 1.5B	1.1 GB	2 GB
Gemma 3 1B	0.8 GB	2 GB
Phi-3 Mini	2.4 GB	4 GB
Phi-4 Mini	2.5 GB	4 GB
Qwen 2.5 3B	2 GB	4 GB
LLaMA 2 7B	4 GB	6 GB
LLaMA 3.1 8B	5 GB	6 GB
Mistral 7B	4.4 GB	6 GB
DeepSeek R1 7B	4.7 GB	6 GB
GLM-4 7B Flash	4.7 GB	6 GB
Qwen Coder 7B	4.7 GB	6 GB
Yi Coder 9B	5.5 GB	8 GB
MythoMax 13B	7.9 GB	10 GB
Hermes 4 14B	9 GB	10 GB
Qwen Coder 14B	9 GB	12 GB
Codestral 22B	13 GB	16 GB
GPT-OSS 20B	12 GB	14 GB
DeepSeek R1 32B	19 GB	24 GB
Qwen Coder 32B	19 GB	24 GB
Qwen3 Coder 30B	18 GB	24 GB

Image, Audio, Video Pipelines (via Flask)

Pipeline	Approx. VRAM
Image Turbo (FLUX Klein)	8 GB
Image Standard (SDXL)	6 GB
Image Quality (FLUX Krea)	12 GB
Image Advanced (Z-Image)	8 GB
Audio Turbo (Kokoro TTS)	2 GB
Audio Quality (Qwen3-TTS)	4 GB
Music (ACE-Step)	6 GB
Video (LTX-2)	10 GB
Vision (Qwen3-VL)	6 GB

Port Configuration

BonzAI uses the following local ports:

Service	Port	Environment Variable
Flask ML Server	65000	BONZAI_SERVER_PORT
OpenClaw LLM	3002	OPENCLAW_API_PORT
OpenClaw Gateway	18789	—