(
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,
apply_query_key_layer_scaling=True,
attention_softmax_in_fp32=True,
fp32_residual_connection=False,
quantization_bit=0,
pre_seq_len=None,
prefix_projection=False,
**kwargs
)
| 4 | class ChatGLMConfig(PretrainedConfig): |
| 5 | model_type = "chatglm" |
| 6 | def __init__( |
| 7 | self, |
| 8 | num_layers=28, |
| 9 | padded_vocab_size=65024, |
| 10 | hidden_size=4096, |
| 11 | ffn_hidden_size=13696, |
| 12 | kv_channels=128, |
| 13 | num_attention_heads=32, |
| 14 | seq_length=2048, |
| 15 | hidden_dropout=0.0, |
| 16 | classifier_dropout=None, |
| 17 | attention_dropout=0.0, |
| 18 | layernorm_epsilon=1e-5, |
| 19 | rmsnorm=True, |
| 20 | apply_residual_connection_post_layernorm=False, |
| 21 | post_layer_norm=True, |
| 22 | add_bias_linear=False, |
| 23 | add_qkv_bias=False, |
| 24 | bias_dropout_fusion=True, |
| 25 | multi_query_attention=False, |
| 26 | multi_query_group_num=1, |
| 27 | apply_query_key_layer_scaling=True, |
| 28 | attention_softmax_in_fp32=True, |
| 29 | fp32_residual_connection=False, |
| 30 | quantization_bit=0, |
| 31 | pre_seq_len=None, |
| 32 | prefix_projection=False, |
| 33 | **kwargs |
| 34 | ): |
| 35 | self.num_layers = num_layers |
| 36 | self.vocab_size = padded_vocab_size |
| 37 | self.padded_vocab_size = padded_vocab_size |
| 38 | self.hidden_size = hidden_size |
| 39 | self.ffn_hidden_size = ffn_hidden_size |
| 40 | self.kv_channels = kv_channels |
| 41 | self.num_attention_heads = num_attention_heads |
| 42 | self.seq_length = seq_length |
| 43 | self.hidden_dropout = hidden_dropout |
| 44 | self.classifier_dropout = classifier_dropout |
| 45 | self.attention_dropout = attention_dropout |
| 46 | self.layernorm_epsilon = layernorm_epsilon |
| 47 | self.rmsnorm = rmsnorm |
| 48 | self.apply_residual_connection_post_layernorm = apply_residual_connection_post_layernorm |
| 49 | self.post_layer_norm = post_layer_norm |
| 50 | self.add_bias_linear = add_bias_linear |
| 51 | self.add_qkv_bias = add_qkv_bias |
| 52 | self.bias_dropout_fusion = bias_dropout_fusion |
| 53 | self.multi_query_attention = multi_query_attention |
| 54 | self.multi_query_group_num = multi_query_group_num |
| 55 | self.apply_query_key_layer_scaling = apply_query_key_layer_scaling |
| 56 | self.attention_softmax_in_fp32 = attention_softmax_in_fp32 |
| 57 | self.fp32_residual_connection = fp32_residual_connection |
| 58 | self.quantization_bit = quantization_bit |
| 59 | self.pre_seq_len = pre_seq_len |
| 60 | self.prefix_projection = prefix_projection |
| 61 | super().__init__(**kwargs) |
nothing calls this directly
no outgoing calls
no test coverage detected