For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Python module

max.pipelines.lora

LoRA adapter management for MAX pipelines.

Adapter management

LoRAConfig	Configuration for LoRA (Low-Rank Adaptation) inference.
LoRAManager	Manages multiple LoRA models and buffers for the forward pass.
LoRAModel	Manages LoRA weights and configuration for a single adapter.

LoRA types

LoRAOperation	Enum for different LoRA operations.
LoRARequest	Container for LoRA adapter requests.
LoRAResponse	Response from LoRA operations.
LoRAStatus	Enum for LoRA operation status.
LoRAType	Enumeration for LoRA Types.

LORA_REQUEST_ENDPOINT	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
LORA_RESPONSE_ENDPOINT	str(object='') -> str str(bytes_or_buffer[, encoding[, errors]]) -> str

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