A newer version of the Gradio SDK is available: 6.19.0
Hardware Profile JSON
JackAILocal SaaS Builder accepts an optional hardware profile JSON object.
If the field is empty, the selected sample profile is used.
Minimum fields
{
"os": "windows",
"cpu_threads": 8,
"ram_gb": 16,
"vram_gb": 0,
"gpu_name": "CPU-only office laptop",
"disk": "USB 3.2 SSD",
"usb_storage_gb": 128
}
RTX 3090 example
{
"os": "windows",
"cpu_threads": 24,
"ram_gb": 64,
"vram_gb": 24,
"gpu_name": "NVIDIA RTX 3090",
"disk": "USB-C NVMe",
"usb_storage_gb": 512
}
Optional whichllm block
{
"os": "windows",
"cpu_threads": 24,
"ram_gb": 64,
"vram_gb": 24,
"gpu_name": "NVIDIA RTX 3090",
"disk": "USB-C NVMe",
"usb_storage_gb": 512,
"whichllm": {
"source": "optional",
"top_model": "Qwen/Qwen3.6-27B"
}
}
Selection behavior
The current hackathon Gradio app is rule-based. It does not perform a live hardware scan inside the browser.
The selected sample profile or pasted JSON is normalized, then compared against the signed model catalog.
The standard pack defaults to a practical laptop baseline up to 9B. Power profiles can select compatible models up to the hackathon limit of 32B.