Upload configuration_openpangu_dense.py with huggingface_hub

configuration_openpangu_dense.py

@@ -0,0 +1,56 @@
+# coding=utf-8
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+
+from transformers.utils import logging
+from transformers.configuration_utils import PretrainedConfig
+
+
+logger = logging.get_logger(__name__)
+
+
+class PanguEmbeddedConfig(PretrainedConfig):
+
+    model_type = "PanguEmbedded"
+    _auto_class = "AutoConfig"
+
+    def __init__(
+        self,
+        vocab_size=153376,
+        hidden_size=4096,
+        intermediate_size=12800,
+        num_hidden_layers=34,
+        num_attention_heads=32,
+        num_key_value_heads=8,
+        hidden_act="silu",
+        max_position_embeddings=32768,
+        initializer_range=0.02,
+        rms_norm_eps=1e-6,
+        use_cache=True,
+        pad_token_id=0,
+        bos_token_id=1,
+        eos_token_id=45892,
+        tie_word_embeddings=False,
+        rope_theta=16000000.0,
+        bias=True,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.max_position_embeddings = max_position_embeddings
+        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.hidden_act = hidden_act
+        self.initializer_range = initializer_range
+        self.rms_norm_eps = rms_norm_eps
+        self.use_cache = use_cache
+        self.rope_theta = rope_theta
+        self.bias = bias
+        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,
+        )