| from typing import Literal |
| from transformers import PretrainedConfig |
|
|
|
|
| class CogVLMConfig(PretrainedConfig): |
| _auto_class = "AutoConfig" |
|
|
| def __init__( |
| self, |
| vocab_size=32000, |
| hidden_size=4096, |
| intermediate_size=11008, |
| num_hidden_layers=32, |
| num_attention_heads=32, |
| num_multi_query_heads=8, |
| hidden_act='silu', |
| max_position_embeddings=2048, |
| initializer_range=0.02, |
| rms_norm_eps=1e-06, |
| template_version: Literal["base", "chat"] = "chat", |
| pad_token_id=0, |
| bos_token_id=1, |
| eos_token_id=2, |
| tie_word_embeddings=False, |
| use_cache=True, |
| **kwargs, |
| ): |
| self.hidden_size = hidden_size |
| self.intermediate_size = intermediate_size |
| self.num_attention_heads = num_attention_heads |
| self.num_multi_query_heads = num_multi_query_heads |
| self.max_position_embeddings = max_position_embeddings |
| self.rms_norm_eps = rms_norm_eps |
| self.initializer_range = initializer_range |
| self.vocab_size = vocab_size |
| self.num_hidden_layers = num_hidden_layers |
| self.hidden_act = hidden_act |
| self.template_version = template_version |
| self.use_cache = use_cache |
| 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, |
| ) |
|
|
