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from transformers.configuration_utils import PretrainedConfig
from loguru import logger as logging
class BuddyGPTConfig(PretrainedConfig):
""" TinyLLM 配置文件
"""
model_type = "buddygpt"
keys_to_ignore_at_inference = ["past_key_values"]
def __init__(
self,
vocab_size=151669,
hidden_size=4096,
intermediate_size=4096,
num_hidden_layers=32,
num_attention_heads=32,
num_key_value_heads=None,
hidden_act="silu",
num_seq_len=2048,
initializer_range=0.02,
rms_norm_eps=1e-6,
use_cache=True,
pad_token_id=None,
bos_token_id=None,
eos_token_id=None,
tie_word_embeddings=False,
rope_theta=10000.0,
attention_dropout=0.0,
_attn_implementation="sdpa",
**kwargs
):
self.vocab_size = vocab_size
self.num_seq_len = num_seq_len
self.hidden_size = hidden_size
self.intermediate_size = intermediate_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
# for backward compatibility
if num_key_value_heads is None:
num_key_value_heads = num_attention_heads
self.num_key_value_heads = num_key_value_heads
self.hidden_act = hidden_act
self.initializer_range = initializer_range
self.rms_norm_eps = rms_norm_eps
self.use_cache = use_cache
self.rope_theta = rope_theta
self.attention_dropout = attention_dropout
self._attn_implementation = _attn_implementation
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
) |