Delete configuration_zdxdllm.py

configuration_zdxdllm.py

@@ -1,58 +0,0 @@
-from transformers import PretrainedConfig
-
-
-class ChatGLMConfig(PretrainedConfig):
-    model_type = "chatglm"
-
-    def __init__(
-            self,
-            num_layers=28,
-            padded_vocab_size=65024,
-            hidden_size=4096,
-            ffn_hidden_size=13696,
-            kv_channels=128,
-            num_attention_heads=32,
-            seq_length=2048,
-            hidden_dropout=0.0,
-            classifier_dropout=None,
-            attention_dropout=0.0,
-            layernorm_epsilon=1e-5,
-            rmsnorm=True,
-            apply_residual_connection_post_layernorm=False,
-            post_layer_norm=True,
-            add_bias_linear=False,
-            add_qkv_bias=False,
-            bias_dropout_fusion=True,
-            multi_query_attention=False,
-            multi_query_group_num=1,
-            rope_ratio=1,
-            apply_query_key_layer_scaling=True,
-            attention_softmax_in_fp32=True,
-            fp32_residual_connection=False,
-            **kwargs
-    ):
-        self.num_layers = num_layers
-        self.vocab_size = padded_vocab_size
-        self.padded_vocab_size = padded_vocab_size
-        self.hidden_size = hidden_size
-        self.ffn_hidden_size = ffn_hidden_size
-        self.kv_channels = kv_channels
-        self.num_attention_heads = num_attention_heads
-        self.seq_length = seq_length
-        self.hidden_dropout = hidden_dropout
-        self.classifier_dropout = classifier_dropout
-        self.attention_dropout = attention_dropout
-        self.layernorm_epsilon = layernorm_epsilon
-        self.rmsnorm = rmsnorm
-        self.apply_residual_connection_post_layernorm = apply_residual_connection_post_layernorm
-        self.post_layer_norm = post_layer_norm
-        self.add_bias_linear = add_bias_linear
-        self.add_qkv_bias = add_qkv_bias
-        self.bias_dropout_fusion = bias_dropout_fusion
-        self.multi_query_attention = multi_query_attention
-        self.multi_query_group_num = multi_query_group_num
-        self.rope_ratio = rope_ratio
-        self.apply_query_key_layer_scaling = apply_query_key_layer_scaling
-        self.attention_softmax_in_fp32 = attention_softmax_in_fp32
-        self.fp32_residual_connection = fp32_residual_connection
-        super().__init__(**kwargs)