Add configuration class

configuration_tinymind.py

@@ -0,0 +1,19 @@
+"""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)