generated from xuyuqing/ailab
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# Copyright (c) 2023, Baichuan Intelligent Technology. All rights reserved.
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from transformers.configuration_utils import PretrainedConfig
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class BaichuanConfig(PretrainedConfig):
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model_type = "baichuan"
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keys_to_ignore_at_inference = ["past_key_values"]
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def __init__(
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self,
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vocab_size=64000,
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hidden_size=5120,
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intermediate_size=13696,
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num_hidden_layers=40,
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num_attention_heads=40,
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hidden_act="silu",
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model_max_length=4096,
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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=0,
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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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gradient_checkpointing=False,
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**kwargs,
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):
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self.vocab_size = vocab_size
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self.model_max_length = model_max_length
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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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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.gradient_checkpointing = gradient_checkpointing,
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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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