74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#
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# Copyright @2024 AI. Inspur Inc.
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#
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# @author: sunxian <sunxian@inspur.com>
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# @date: 2024/07/18
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#
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from transformers.configuration_utils import PretrainedConfig
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class HairuoConfig(PretrainedConfig):
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model_type = "hairuo"
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keys_to_ignore_at_inference = ["past_key_values"]
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_auto_class = "AutoConfig"
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def __init__(
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self,
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vocab_size=32000,
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hidden_size=4096,
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intermediate_size=14336,
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num_hidden_layers=32,
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num_attention_heads=32,
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num_key_value_heads=8,
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hidden_act="silu",
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max_position_embeddings=4096 * 32,
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initializer_range=0.02,
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rms_norm_eps=1e-6,
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use_cache=True,
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pad_token_id=None,
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bos_token_id=1,
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eos_token_id=2,
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tie_word_embeddings=False,
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rope_theta=8.4e5,
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rope_scaling=None,
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attention_dropout=0.0,
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mup_scale_emb=1,
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mup_scale_depth=32,
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mup_scale_width=1,
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**kwargs,
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):
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self.vocab_size = vocab_size
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self.max_position_embeddings = max_position_embeddings
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self.hidden_size = hidden_size
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self.intermediate_size = intermediate_size
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self.num_hidden_layers = num_hidden_layers
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self.num_attention_heads = num_attention_heads
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# for backward compatibility
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if num_key_value_heads is None:
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num_key_value_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.initializer_range = initializer_range
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self.rms_norm_eps = rms_norm_eps
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self.use_cache = use_cache
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self.rope_theta = rope_theta
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self.rope_scaling = rope_scaling
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self.attention_dropout = attention_dropout
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self.mup_scale_emb = mup_scale_emb
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self.mup_scale_depth = mup_scale_depth
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self.mup_scale_width = mup_scale_width
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super().__init__(
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pad_token_id=pad_token_id,
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bos_token_id=bos_token_id,
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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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)
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