|
|
"""Bailing MoE V2 model configuration""" |
|
|
|
|
|
from transformers.configuration_utils import PretrainedConfig |
|
|
|
|
|
|
|
|
class BailingMoeV2Config(PretrainedConfig): |
|
|
|
|
|
def __init__( |
|
|
self, |
|
|
vocab_size=157184, |
|
|
hidden_size=2048, |
|
|
intermediate_size=5120, |
|
|
num_hidden_layers=20, |
|
|
num_attention_heads=16, |
|
|
num_key_value_heads=4, |
|
|
hidden_act="silu", |
|
|
use_qkv_bias=False, |
|
|
use_bias=False, |
|
|
rms_norm_eps=1e-06, |
|
|
tie_word_embeddings=False, |
|
|
embedding_dropout=0.0, |
|
|
attention_dropout=0.0, |
|
|
output_dropout=0.0, |
|
|
initializer_range=0.02, |
|
|
max_position_embeddings=32768, |
|
|
rope_theta=600000.0, |
|
|
use_cache=True, |
|
|
max_window_layers=20, |
|
|
rope_scaling=None, |
|
|
pad_token_id=156892, |
|
|
eos_token_id=156892, |
|
|
num_experts=256, |
|
|
num_shared_experts=1, |
|
|
num_experts_per_tok=8, |
|
|
n_group=8, |
|
|
topk_group=4, |
|
|
moe_intermediate_size=512, |
|
|
first_k_dense_replace=1, |
|
|
head_dim=128, |
|
|
output_router_logits=False, |
|
|
use_qk_norm=True, |
|
|
num_nextn_predict_layers=0, |
|
|
mtp_loss_scaling_factor=0, |
|
|
moe_router_enable_expert_bias=True, |
|
|
routed_scaling_factor=1.0, |
|
|
**kwargs, |
|
|
): |
|
|
self.num_hidden_layers = num_hidden_layers |
|
|
self.vocab_size = vocab_size |
|
|
self.hidden_size = hidden_size |
|
|
self.intermediate_size = intermediate_size |
|
|
self.num_attention_heads = num_attention_heads |
|
|
self.num_key_value_heads = num_key_value_heads |
|
|
self.hidden_act = hidden_act |
|
|
self.use_qkv_bias = use_qkv_bias |
|
|
self.use_bias = use_bias |
|
|
self.rms_norm_eps = rms_norm_eps |
|
|
self.embedding_dropout = embedding_dropout |
|
|
self.attention_dropout = attention_dropout |
|
|
self.output_dropout = output_dropout |
|
|
self.num_nextn_predict_layers = num_nextn_predict_layers |
|
|
self.mtp_loss_scaling_factor = mtp_loss_scaling_factor |
|
|
self.initializer_range = initializer_range |
|
|
self.max_position_embeddings = max_position_embeddings |
|
|
self.rope_theta = rope_theta |
|
|
self.use_cache = use_cache |
|
|
self.max_window_layers = max_window_layers |
|
|
self.head_dim = head_dim or self.hidden_size // self.num_attention_heads |
|
|
self.rope_scaling = rope_scaling |
|
|
self.use_qk_norm = use_qk_norm |
|
|
self.moe_router_enable_expert_bias = moe_router_enable_expert_bias |
|
|
self.routed_scaling_factor = routed_scaling_factor |
|
|
|
|
|
|
|
|
self.num_experts = num_experts |
|
|
self.num_shared_experts = num_shared_experts |
|
|
self.num_experts_per_tok = num_experts_per_tok |
|
|
self.n_group = n_group |
|
|
self.topk_group = topk_group |
|
|
self.moe_intermediate_size = moe_intermediate_size |
|
|
self.first_k_dense_replace = first_k_dense_replace |
|
|
self.output_router_logits = output_router_logits |
|
|
|
|
|
super().__init__(pad_token_id=pad_token_id, eos_token_id=eos_token_id, tie_word_embeddings=tie_word_embeddings, **kwargs) |
|
|
|
