PEFT's Target Modules Mappings

# peft/utils/other.py in line 328 
TRANSFORMERS_MODELS_TO_LORA_TARGET_MODULES_MAPPING = {
    "t5": ["q", "v"],
    "mt5": ["q", "v"],
    "bart": ["q_proj", "v_proj"],
    "gpt2": ["c_attn"],
    "bloom": ["query_key_value"],
    "blip-2": ["q", "v", "q_proj", "v_proj"],
    "opt": ["q_proj", "v_proj"],
    "gptj": ["q_proj", "v_proj"],
    "gpt_neox": ["query_key_value"],
    "gpt_neo": ["q_proj", "v_proj"],
    "bert": ["query", "value"],
    "roberta": ["query", "value"],
    "xlm-roberta": ["query", "value"],
    "electra": ["query", "value"],
    "deberta-v2": ["query_proj", "value_proj"],
    "deberta": ["in_proj"],
    "layoutlm": ["query", "value"],
    "llama": ["q_proj", "v_proj"],
    "chatglm": ["query_key_value"],
    "gpt_bigcode": ["c_attn"],
    "mpt": ["Wqkv"],
    "RefinedWebModel": ["query_key_value"],
    "RefinedWeb": ["query_key_value"],
    "falcon": ["query_key_value"],
    "btlm": ["c_proj", "c_attn"],
}

TRANSFORMERS_MODELS_TO_IA3_TARGET_MODULES_MAPPING = {
    "t5": ["k", "v", "wo"],
    "mt5": ["k", "v", "wi_1"],
    "gpt2": ["c_attn", "mlp.c_proj"],
    "bloom": ["query_key_value", "mlp.dense_4h_to_h"],
    "roberta": ["key", "value", "output.dense"],
    "opt": ["q_proj", "k_proj", "fc2"],
    "gptj": ["q_proj", "v_proj", "fc_out"],
    "gpt_neox": ["query_key_value", "dense_4h_to_h"],
    "gpt_neo": ["q_proj", "v_proj", "c_proj"],
    "bart": ["q_proj", "v_proj", "fc2"],
    "gpt_bigcode": ["c_attn", "mlp.c_proj"],
    "llama": ["k_proj", "v_proj", "down_proj"],
    "bert": ["key", "value", "output.dense"],
    "deberta-v2": ["key_proj", "value_proj", "output.dense"],
    "deberta": ["in_proj", "output.dense"],
    "RefinedWebModel": ["query_key_value"],
    "RefinedWeb": ["query_key_value"],
    "falcon": ["query_key_value"],
}

TRANSFORMERS_MODELS_TO_IA3_FEEDFORWARD_MODULES_MAPPING = {
    "t5": ["wo"],
    "mt5": [],
    "gpt2": ["mlp.c_proj"],
    "bloom": ["mlp.dense_4h_to_h"],
    "roberta": ["output.dense"],
    "opt": ["fc2"],
    "gptj": ["fc_out"],
    "gpt_neox": ["dense_4h_to_h"],
    "gpt_neo": ["c_proj"],
    "bart": ["fc2"],
    "gpt_bigcode": ["mlp.c_proj"],
    "llama": ["down_proj"],
    "bert": ["output.dense"],
    "deberta-v2": ["output.dense"],
    "deberta": ["output.dense"],
    "RefinedWeb": ["query_key_value"],
    "RefinedWebModel": ["query_key_value"],
    "falcon": ["query_key_value"],
}

COMMON_LAYERS_PATTERN = ["layers", "h", "block", "blocks", "layer"]

TRANSFORMERS_MODELS_TO_ADALORA_TARGET_MODULES_MAPPING = {
    "t5": ["q", "k", "v", "o", "wi", "wo"],
    "mt5": ["q", "k", "v", "o", "wi_0", "wi_1", "wo"],
    "bart": ["q_proj", "k_proj", "v_proj", "out_proj", "fc1", "fc2"],
    "gpt2": ["c_attn"],
    "bloom": ["query_key_value"],
    "opt": ["q_proj", "k_proj", "v_proj", "out_proj", "fc1", "fc2"],
    "gptj": ["q_proj", "v_proj"],
    "gpt_neox": ["query_key_value"],
    "gpt_neo": ["q_proj", "v_proj"],
    "llama": ["q_proj", "v_proj"],
    "bert": ["query", "value"],
    "roberta": ["query", "key", "value", "dense"],
    # "xlm-roberta": ["query", "value"],
    # "electra": ["query", "value"],
    "deberta-v2": ["query_proj", "key_proj", "value_proj", "dense"],
    "gpt_bigcode": ["c_attn"],
    "deberta": ["in_proj"],
    # "layoutlm": ["query", "value"],
}