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* Update download_model.py * Create start_offline_cmd.bat * Update download_model.py * Update download_model.py * Update download_model.py * Update requirements.txt * Create test_models.py * Update app.py * Update test_models.py * 1 * Create chatglm3_predictor.py * Update chatglm3_predictor.py * Update requirements.txt * Update app.py * Update chatglm3_predictor.py * Update base.py * Update chatglm3_predictor.py * Update chatglm3_predictor.py * Update download_model.py * Update chatglm3_predictor.py * Update base.py * Update base.py * Update base.py * Update app.py * Update chatglm3_predictor.py * Update app.py
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from transformers import PretrainedConfig | ||
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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, | ||
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 | ||
): | ||
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.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 | ||
self.quantization_bit = quantization_bit | ||
self.pre_seq_len = pre_seq_len | ||
self.prefix_projection = prefix_projection | ||
super().__init__(**kwargs) |
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