File size: 1,802 Bytes
0751d1b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | from typing import Literal
from transformers import PretrainedConfig
class CogAgentConfig(PretrainedConfig):
_auto_class = "AutoConfig"
def __init__(
self,
vocab_size=32000,
hidden_size=4096,
cross_hidden_size=1024,
cross_compute_hidden_size=1024,
cross_image_size=1120,
intermediate_size=11008,
num_hidden_layers=32,
num_attention_heads=32,
hidden_act='silu',
max_position_embeddings=2048,
initializer_range=0.02,
rms_norm_eps=1e-06,
template_version: Literal["base", "chat"] = "chat",
pad_token_id=0,
bos_token_id=1,
eos_token_id=2,
tie_word_embeddings=False,
use_cache=True,
**kwargs,
):
self.hidden_size = hidden_size
self.cross_hidden_size = cross_hidden_size
self.cross_compute_hidden_size = cross_compute_hidden_size
self.cross_image_size = cross_image_size
self.intermediate_size = intermediate_size
self.num_attention_heads = num_attention_heads
self.max_position_embeddings = max_position_embeddings
self.rms_norm_eps = rms_norm_eps
self.initializer_range = initializer_range
self.vocab_size = vocab_size
self.num_hidden_layers = num_hidden_layers
self.hidden_act = hidden_act
self.template_version = template_version
self.use_cache = use_cache
super().__init__(
pad_token_id=pad_token_id,
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
tie_word_embeddings=tie_word_embeddings,
**kwargs,
)
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