| from transformers.configuration_utils import PretrainedConfig | |
| class LowOnMindConfig(PretrainedConfig): | |
| """Config do LowOnMind. | |
| Derivada do DynamicMindConfig (DedeProGames/DynamicMind-Mini), com | |
| `use_qk_norm` e `initializer_range` adicionais. | |
| """ | |
| model_type = "lowonmind" | |
| def __init__( | |
| self, | |
| vocab_size=1024, | |
| hidden_size=64, | |
| intermediate_size=136, | |
| num_hidden_layers=6, | |
| num_attention_heads=4, | |
| num_key_value_heads=2, | |
| max_position_embeddings=512, | |
| rms_norm_eps=1e-5, | |
| rope_theta=10000.0, | |
| attention_dropout=0.0, | |
| use_qk_norm=True, | |
| initializer_range=0.02, | |
| tie_word_embeddings=True, | |
| use_cache=False, | |
| bos_token_id=0, | |
| eos_token_id=0, | |
| pad_token_id=1, | |
| **kwargs, | |
| ): | |
| super().__init__( | |
| bos_token_id=bos_token_id, | |
| eos_token_id=eos_token_id, | |
| pad_token_id=pad_token_id, | |
| tie_word_embeddings=tie_word_embeddings, | |
| **kwargs, | |
| ) | |
| self.vocab_size = vocab_size | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.num_key_value_heads = num_key_value_heads | |
| self.max_position_embeddings = max_position_embeddings | |
| self.rms_norm_eps = rms_norm_eps | |
| self.rope_theta = rope_theta | |
| self.attention_dropout = attention_dropout | |
| self.use_qk_norm = use_qk_norm | |
| self.initializer_range = initializer_range | |
| self.use_cache = use_cache | |