self.lora_A.update(nn.ModuleDict({adapter_name: nn.Linear(self.in_features, r, bias=False)})) self.lora_B.update(nn.ModuleDict({adapter_name: nn.Linear(r, self.out_features, bias=False)})) self.scaling[adapter_name] = lora_alpha / r if init_lora_weights: self.reset_lora_paramete...
self.scaling[adapter_name] = lora_alpha / r if init_lora_weights: self.reset_lora_parameters(adapter_name) self.to(self.weight.device) def update_layer_embedding(self, adapter_name, r, lora_alpha, lora_dropout, init_lora_weights): self.r[adapter_name] = r self.lora_alpha[adapter_name...
r,bias=False)}))self.lora_B.update(nn.ModuleDict({adapter_name:nn.Linear(r,self.out_features,bias=False)}))self.scaling[adapter_name]=lora_alpha/r## 向前计算result=F.linear(x,transpose(self.weight,self.fan_in_fan_out),bias=self.bias)result+=(self.lora_B[self.active_...
model=AutoModelForCausalLM.from_pretrained(model_name_or_path='/name/or/path/to/your/model',loa...
adapter_name_or_path="train_MRPC",import jsonargs = dict(stage="sft", # 进行指令监督微调do_train="True",model_name_or_path=model_name_or_path,preprocessing_num_workers=16,finetuning_type="lora", # 使用 LoRA 适配器来节省显存template="gemma", # 使用 gemma 提示词模板flash_attn="auto"...
= LlamaTokenizer.from_pretrained(model_name_or_path) print(f"Loading the LoRA adapter from...
load_adapter( ││ 3932│ │ │ │ _adapter_model_path, ││ 3933│ │ │ │ adapter_name=adapter_name, ││ 3934│ │ │ │ token=token, ││ ││ /home/tools/yes/envs/chatGLM/lib/python3.10/site-packages/transformers/integ ││ rations/peft.py:180 in load_adapter ││ ││...
Adapter Tuning(固定原预训练模型的参数 只对新增的adapter进行微调) Prefix Tuning(在输入token前构造一段任务相关的virtual tokens作为prefix,训练时只更新Prefix不分的参数,而Transformer的其他不分参数固定,和构造prompt类似,只是prompt是人为构造的即无法在模型训练时更新参数,而Prefix可以学习<隐式>的prompt) ...
("CiroN2022/toy-face",weight_name="toy_face_sdxl.safetensors",adapter_name="toy")pipe.set_adapters(["lora","toy"],adapter_weights=[1.0,0.8])pipe.to(device="cuda",dtype=torch.float16)prompt="a toy_face man"negative_prompt="blurry, low quality, render, 3D, oversaturated"images=pipe...
model_name_or_path maywell/Synatra-7B-v0.3-dpo --version mistral --data_path ./workspace/data/kollava_v1_5_instruct_mix612k.json --image_folder ./workspace/data --vision_tower openai/clip-vit-large-patch14-336 --pretrain_mm_mlp_adapter ./checkpoints/KoLLaVA-v1.5-mlp2x-336px-pre...