1.1.2 MossBlock 基于下面的attention和mlp,我们可以构造出来MossBlock了: ipdb>pselfMossBlock((ln_1):LayerNorm((6144,),eps=1e-05,elementwise_affine=True)(attn):MossAttention((attn_dropout):Dropout(p=0.0,inplace=False)(resid_dropout):Dropout(p=0.0,inplace=False)(qkv_proj):Linear(in_feature...
上面是调用34个moss block的脑图,其中outputs里面,和之前的类似,也是: last_hidden_state: [1, 243, 6144] ; past_key_values: 'past_key_values',这是一个有34个元素的tuple【逐渐随着i=0, ..., 33来收集】,每个元素,例如的past_key_values[0]里面,包括了2个张量,第0层transformer decoder的计算出来...
moss block for a wall fountain by inserting a fourth mixture into the extrusion molding device and forming the fourth mixture at a constant thickness in an extrusion molding device after the fourth manufacturing process; and a sixth manufacturing process of inserting the moss block for a wall ...
model = load_checkpoint_and_dispatch( raw_model, model_path, device_map="auto", no_split_module_classes=["MossBlock"], dtype=torch.float16, max_memory={0: "18GiB", "cpu": "26GiB"})6、启动服务，第一次启动需要下载模型，耐心等待 # python moss_cli_demo.py 等待一段时间后，出现以...
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>>> model = load_checkpoint_and_dispatch(model, model_path, device_map="auto", no_split_module_classes=["MossBlock"], dtype=torch.float16) >>> meta_instruction = "You are an AI assistant whose name is MOSS.\n- MOSS is a conversational language model that is developed by Fudan Univer...
I solved this problem, but in the onswer sheet, there was no process of assuming whether the blocks were stationary. or whether block A was moving to the left and blockBwas moving to the right, or whether block A was moving to th...