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from transformers import PretrainedConfig
class CognitivessConfig(PretrainedConfig):
model_type = "cognitivess"
def __init__(
self,
vocab_size=128256,
hidden_size=4096,
intermediate_size=14336,
num_hidden_layers=32,
num_attention_heads=32,
num_key_value_heads=8,
hidden_act="silu",
max_position_embeddings=8192,
initializer_range=0.02,
rms_norm_eps=1e-5,
use_cache=True,
pad_token_id=0,
bos_token_id=128000,
eos_token_id=128001,
tie_word_embeddings=False,
attention_dropout=0.0,
pretraining_tp=1,
rope_theta=500000.0,
**kwargs
):
super().__init__(
vocab_size=vocab_size,
hidden_size=hidden_size,
intermediate_size=intermediate_size,
num_hidden_layers=num_hidden_layers,
num_attention_heads=num_attention_heads,
num_key_value_heads=num_key_value_heads,
hidden_act=hidden_act,
max_position_embeddings=max_position_embeddings,
initializer_range=initializer_range,
rms_norm_eps=rms_norm_eps,
use_cache=use_cache,
pad_token_id=pad_token_id,
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
tie_word_embeddings=tie_word_embeddings,
pretraining_tp=pretraining_tp,
rope_theta=rope_theta,
**kwargs
)
self.attention_dropout = attention_dropout
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