72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
# Copyright (c) Alibaba Cloud.
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# LICENSE: https://huggingface.co/Qwen/Qwen-7B/blob/main/LICENSE
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from transformers import PretrainedConfig
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class QWenConfig(PretrainedConfig):
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model_type = "qwen"
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keys_to_ignore_at_inference = ["past_key_values"]
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attribute_map = {
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"hidden_size": "n_embd",
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"num_attention_heads": "n_head",
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"max_position_embeddings": "n_positions",
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"num_hidden_layers": "n_layer",
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}
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def __init__(
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self,
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vocab_size=151851,
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n_embd=4096,
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n_layer=32,
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n_head=32,
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n_inner=None,
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embd_pdrop=0.0,
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attn_pdrop=0.0,
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layer_norm_epsilon=1e-5,
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initializer_range=0.02,
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scale_attn_weights=True,
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use_cache=True,
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eos_token_id=151643,
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apply_residual_connection_post_layernorm=False,
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bf16=True,
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kv_channels=128,
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rotary_pct=1.0,
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rotary_emb_base=10000,
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use_dynamic_ntk=False,
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use_logn_attn=False,
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use_flash_attn=True,
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ffn_hidden_size=22016,
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no_bias=True,
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tie_word_embeddings=False,
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**kwargs,
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):
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self.eos_token_id = eos_token_id
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super().__init__(eos_token_id=eos_token_id,
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tie_word_embeddings=tie_word_embeddings,
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**kwargs)
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self.vocab_size = vocab_size
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self.n_embd = n_embd
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self.n_layer = n_layer
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self.n_head = n_head
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self.n_inner = n_inner
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self.embd_pdrop = embd_pdrop
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self.attn_pdrop = attn_pdrop
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self.layer_norm_epsilon = layer_norm_epsilon
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self.initializer_range = initializer_range
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self.scale_attn_weights = scale_attn_weights
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self.use_cache = use_cache
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self.apply_residual_connection_post_layernorm = (
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apply_residual_connection_post_layernorm)
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self.bf16 = bf16
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self.kv_channels = kv_channels
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self.rotary_pct = rotary_pct
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self.rotary_emb_base = rotary_emb_base
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self.use_dynamic_ntk = use_dynamic_ntk
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self.use_logn_attn = use_logn_attn
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self.use_flash_attn = use_flash_attn
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self.ffn_hidden_size = ffn_hidden_size
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self.no_bias = no_bias
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self.tie_word_embeddings = tie_word_embeddings
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