Upload model code to root: configuration_parchment.py

configuration_parchment.py

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+from transformers import PretrainedConfig
+
+
+class ParchmentConfig(PretrainedConfig):
+    model_type = "parchment"
+
+    def __init__(
+        self,
+        vocab_size: int = 100277,
+        d_model: int = 768,
+        n_heads: int = 12,
+        n_layers: int = 12,
+        max_seq_len: int = 1024,
+        rms_norm_eps: float = 1e-6,
+        rope_base: float = 10000.0,
+        tie_word_embeddings: bool = True,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.d_model = d_model
+        self.n_heads = n_heads
+        self.n_layers = n_layers
+        self.max_seq_len = max_seq_len
+        self.rms_norm_eps = rms_norm_eps
+        self.rope_base = rope_base
+        # aliases expected by transformers internals
+        self.num_hidden_layers = n_layers
+        self.hidden_size = d_model
+        self.num_attention_heads = n_heads
+        super().__init__(tie_word_embeddings=tie_word_embeddings, **kwargs)