| """TinyMind configuration.""" |
| from transformers import PretrainedConfig |
|
|
|
|
| class TinyMindConfig(PretrainedConfig): |
| model_type = "tiny_smart_llm" |
|
|
| def __init__(self, vocab_size=50257, n_embd=256, n_heads=8, n_layers=6, max_seq_len=512, dropout=0.1, **kwargs): |
| self.vocab_size = vocab_size |
| self.n_embd = n_embd |
| self.n_heads = n_heads |
| self.n_layers = n_layers |
| self.num_hidden_layers = n_layers |
| self.hidden_size = n_embd |
| self.num_attention_heads = n_heads |
| self.max_seq_len = max_seq_len |
| self.max_position_embeddings = max_seq_len |
| self.dropout = dropout |
| super().__init__(**kwargs) |
|
|
