File size: 2,484 Bytes
7dc384d | 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 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | from transformers.models.qwen2.configuration_qwen2 import Qwen2Config
class KimiAudioConfig(Qwen2Config):
def __init__(
self,
vocab_size=163840,
hidden_size=4096,
intermediate_size=11008,
num_hidden_layers=32,
num_attention_heads=32,
num_key_value_heads=None,
hidden_act="silu",
initializer_range=0.02,
rms_norm_eps=1e-6,
use_cache=True,
rope_theta=10000.0,
rope_scaling=None,
tie_word_embeddings=False,
kimia_mimo_layers: int = 6,
kimia_mimo_audiodelaytokens: int = 5,
kimia_mimo_transformer_from_layer_index: int = 21,
kimia_audio_output_vocab: int = 16896,
kimia_text_output_vocab: int = 152064,
num_audio_special_tokens: int = 512,
num_base_tokens: int = 151643,
kimia_token_offset: int = 152064,
use_whisper_feature: bool = True,
kimia_adaptor_input_dim: int = 5120,
kimia_media_begin: int = 151661,
kimia_media_end: int = 151663,
**kwargs,
):
super().__init__(
vocab_size=vocab_size,
hidden_size=hidden_size,
intermediate_size=intermediate_size,
num_hidden_layers=num_hidden_layers,
num_attention_heads=num_attention_heads,
num_key_value_heads=num_key_value_heads,
hidden_act=hidden_act,
initializer_range=initializer_range,
rms_norm_eps=rms_norm_eps,
use_cache=use_cache,
tie_word_embeddings=tie_word_embeddings,
rope_theta=rope_theta,
rope_scaling=rope_scaling,
**kwargs,
)
self.kimia_mimo_layers = kimia_mimo_layers
self.kimia_mimo_audiodelaytokens = kimia_mimo_audiodelaytokens
# vocab
self.kimia_mimo_transformer_from_layer_index = (
kimia_mimo_transformer_from_layer_index
)
self.kimia_audio_output_vocab = kimia_audio_output_vocab
self.kimia_text_output_vocab = kimia_text_output_vocab
self.num_audio_special_tokens = num_audio_special_tokens
self.num_base_tokens = num_base_tokens
self.kimia_token_offset = kimia_token_offset
self.use_whisper_feature = use_whisper_feature
self.kimia_adaptor_input_dim = kimia_adaptor_input_dim
# special tokens
self.kimia_media_begin = kimia_media_begin
self.kimia_media_end = kimia_media_end
|