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rename mini_gpt4.py to minigpt_4.py and remove some unused import
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@ -11,7 +11,7 @@ from omegaconf import OmegaConf
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from minigpt4.common.registry import registry
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from minigpt4.common.registry import registry
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from minigpt4.models.base_model import BaseModel
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from minigpt4.models.base_model import BaseModel
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from minigpt4.models.mini_gpt4 import MiniGPT4
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from minigpt4.models.minigpt_4 import MiniGPT4
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from minigpt4.processors.base_processor import BaseProcessor
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from minigpt4.processors.base_processor import BaseProcessor
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@ -6,19 +6,10 @@ from torch.cuda.amp import autocast as autocast
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import torch.nn as nn
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import torch.nn as nn
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from minigpt4.common.registry import registry
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from minigpt4.common.registry import registry
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from minigpt4.models.base_model import BaseModel, disabled_train
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from minigpt4.models.base_model import disabled_train
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from minigpt4.models.minigpt_base import MiniGPTBase
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from minigpt4.models.minigpt_base import MiniGPTBase
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from minigpt4.models.Qformer import BertConfig, BertLMHeadModel
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from minigpt4.models.Qformer import BertConfig, BertLMHeadModel
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from transformers.models.llama.modeling_llama import LlamaForCausalLM
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from transformers import LlamaTokenizer
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from peft import (
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LoraConfig,
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get_peft_model,
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get_peft_model_state_dict,
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prepare_model_for_int8_training,
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set_peft_model_state_dict,
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)
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@registry.register_model("mini_gpt4")
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@registry.register_model("mini_gpt4")
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@ -6,15 +6,8 @@ from torch.cuda.amp import autocast as autocast
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import torch.nn as nn
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import torch.nn as nn
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from minigpt4.common.registry import registry
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from minigpt4.common.registry import registry
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from minigpt4.models.base_model import BaseModel, disabled_train
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from minigpt4.models.base_model import BaseModel
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from transformers.models.llama.modeling_llama import LlamaForCausalLM
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from transformers import LlamaTokenizer
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from peft import (
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LoraConfig,
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get_peft_model,
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prepare_model_for_int8_training,
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)
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class MiniGPTBase(BaseModel):
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class MiniGPTBase(BaseModel):
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