LoraConfig interface

Package:

@azure/ai-projects

Adapter-specific metadata for LoRA models. Drives serving engine configuration at deployment time.

Properties

alpha	LoRA scaling factor (α). Positive integer; typically 2× the rank.
dropout	Dropout rate used during training. Informational — not used at serving time.
rank	LoRA rank (r). Positive integer. Common values: 8, 16, 32, 64.
targetModules	Model layers modified by the adapter (e.g., q_proj, v_proj). Auto-detected from adapter_config.json if omitted.

Property Details

alpha

LoRA scaling factor (α). Positive integer; typically 2× the rank.

alpha?: number

Property Value

number

dropout

Dropout rate used during training. Informational — not used at serving time.

dropout?: number

Property Value

number

rank

LoRA rank (r). Positive integer. Common values: 8, 16, 32, 64.

rank?: number

Property Value

number

targetModules

Model layers modified by the adapter (e.g., q_proj, v_proj). Auto-detected from adapter_config.json if omitted.

targetModules?: string[]

Property Value

string[]