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from typing import Optional, List, Any, Dict
from transformers.configuration_utils import PretrainedConfig
class Step1Config(PretrainedConfig):
model_type = "step1"
keys_to_ignore_at_inference = ["past_key_values"]
def __init__(
self,
hidden_size: int = 5120,
intermediate_size: int = 13312,
num_attention_heads: int = 40,
num_attention_groups: int = 8,
num_hidden_layers: int = 48,
max_seq_len: int = 4096,
vocab_size: int = 65536,
rms_norm_eps: float = 1e-5,
bos_token_id: int = 1,
eos_token_id: int = 3,
pad_token_id: int = 0,
**kwargs,
) -> None:
self.hidden_size = hidden_size
self.intermediate_size = intermediate_size
self.num_attention_heads = num_attention_heads
self.num_attention_groups = num_attention_groups
self.num_hidden_layers = num_hidden_layers
self.max_seq_len = max_seq_len
self.vocab_size = vocab_size
self.rms_norm_eps = rms_norm_eps
super().__init__(
bos_token_id=bos_token_id,
pad_token_id=pad_token_id,
eos_token_id=eos_token_id,
**kwargs
)
__all__ = ["Step1Config"]
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