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"""gLM2 model configuration"""
from typing import Optional
from transformers import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class gLM2Config(PretrainedConfig):
model_type = "gLM2"
def __init__(
self,
dim: int = 640,
depth: int = 30,
heads: int = 10,
vocab_size: int = 37,
swiglu_multiple_of: int = 256,
ffn_dim_multiplier: Optional[float] = None,
norm_eps: float = 1e-5,
**kwargs
):
super().__init__(**kwargs)
self.dim = dim
self.depth = depth
self.heads = heads
self.vocab_size = vocab_size
self.swiglu_multiple_of = swiglu_multiple_of
self.ffn_dim_multiplier = ffn_dim_multiplier
self.norm_eps = norm_eps
self.auto_map = {
"AutoConfig": "configuration_glm2.gLM2Config",
"AutoModel": "modeling_glm2.gLM2Model",
"AutoModelForMaskedLM": "modeling_glm2.gLM2ForMaskedLM"
}
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