from dataclasses import dataclass


@dataclass
class PEFTConfig:
    method: str = "qlora"
    lora_r: int = 16
    lora_alpha: int = 32
    lora_dropout: float = 0.1
    target_modules: tuple[str, ...] = ("q_proj", "k_proj", "v_proj", "o_proj")


def describe_peft_stack() -> dict[str, str]:
    return {
        "QLoRA": "Memory-efficient low-bit adapter fine-tuning",
        "LoRA": "Low-rank adaptation for fast domain tuning",
        "PEFT": "Parameter-efficient framework for adapters",
        "DeepSpeed": "Distributed optimization and ZeRO partitioning",
        "FSDP": "Fully sharded data parallel training",
    }