79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
""" Bailing MoE model configuration """
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from transformers.configuration_utils import PretrainedConfig
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class BailingMoeConfig(PretrainedConfig):
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model_type = "bailing_moe"
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def __init__(
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self,
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vocab_size=30592,
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hidden_size=1024,
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intermediate_size=None,
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num_hidden_layers=24,
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num_attention_heads=16,
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num_key_value_heads=0,
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hidden_act="silu",
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use_qkv_bias=False, # bailing only
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use_bias=True, # bailing only
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rms_norm_eps=1e-05,
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norm_head=False, # bailing only
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tie_word_embeddings=False, # PretrainedConfig key, here change default value.
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embedding_dropout=0.1,
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attention_dropout=0.1,
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output_dropout=0.1,
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initializer_range=0.02,
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max_position_embeddings=16384,
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rope_theta=10000.0,
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use_cache=True,
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use_sliding_window=False,
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sliding_window=4096,
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max_window_layers=28,
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rope_scaling=None,
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pad_token_id=126081,
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num_experts=16,
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num_shared_experts=0,
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num_experts_per_tok=2,
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norm_topk_prob=True,
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moe_intermediate_size=None,
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first_k_dense_replace=0,
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head_dim=None,
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output_router_logits=False,
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**kwargs,
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):
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self.num_hidden_layers = num_hidden_layers
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self.vocab_size = vocab_size
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self.hidden_size = hidden_size
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self.intermediate_size = intermediate_size
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self.num_attention_heads = num_attention_heads
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self.num_key_value_heads = num_key_value_heads
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self.hidden_act = hidden_act
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self.use_qkv_bias = use_qkv_bias
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self.use_bias = use_bias
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self.norm_head = norm_head
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self.rms_norm_eps = rms_norm_eps
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self.embedding_dropout = embedding_dropout
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self.attention_dropout = attention_dropout
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self.output_dropout = output_dropout
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self.initializer_range = initializer_range
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self.max_position_embeddings = max_position_embeddings
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self.rope_theta = rope_theta
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self.use_cache = use_cache
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self.use_sliding_window = use_sliding_window
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self.sliding_window = sliding_window
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self.max_window_layers = max_window_layers
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self.head_dim = head_dim
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self.rope_scaling = rope_scaling
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# MoE configs
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self.num_experts = num_experts
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self.num_shared_experts = num_shared_experts
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self.num_experts_per_tok = num_experts_per_tok
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self.norm_topk_prob = norm_topk_prob
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self.moe_intermediate_size = moe_intermediate_size
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self.first_k_dense_replace = first_k_dense_replace
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self.output_router_logits = output_router_logits
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super().__init__(pad_token_id=pad_token_id, tie_word_embeddings=tie_word_embeddings, **kwargs)
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