Add configuration_nqlm.py

configuration_nqlm.py

@@ -0,0 +1,58 @@
+"""
+NeuralQuantum NQLM Configuration for Hugging Face Transformers
+"""
+
+from transformers import PretrainedConfig
+
+
+class NeuralQuantumNQLMConfig(PretrainedConfig):
+    """Configuration class for NeuralQuantum NQLM model"""
+    
+    model_type = "neuralquantum_nqlm"
+    
+    def __init__(
+        self,
+        vocab_size=50257,
+        hidden_size=768,
+        num_attention_heads=12,
+        num_hidden_layers=12,
+        intermediate_size=3072,
+        hidden_act="gelu",
+        hidden_dropout_prob=0.1,
+        attention_probs_dropout_prob=0.1,
+        max_position_embeddings=512,
+        type_vocab_size=2,
+        initializer_range=0.02,
+        layer_norm_eps=1e-12,
+        use_cache=True,
+        quantum_enhancement=True,
+        quantum_layers=4,
+        quantum_circuit_depth=8,
+        quantum_optimization="vqe",
+        hybrid_mode=True,
+        torch_dtype="float16",
+        **kwargs
+    ):
+        super().__init__(**kwargs)
+        
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_size
+        self.num_attention_heads = num_attention_heads
+        self.num_hidden_layers = num_hidden_layers
+        self.intermediate_size = intermediate_size
+        self.hidden_act = hidden_act
+        self.hidden_dropout_prob = hidden_dropout_prob
+        self.attention_probs_dropout_prob = attention_probs_dropout_prob
+        self.max_position_embeddings = max_position_embeddings
+        self.type_vocab_size = type_vocab_size
+        self.initializer_range = initializer_range
+        self.layer_norm_eps = layer_norm_eps
+        self.use_cache = use_cache
+        
+        # Quantum-specific parameters
+        self.quantum_enhancement = quantum_enhancement
+        self.quantum_layers = quantum_layers
+        self.quantum_circuit_depth = quantum_circuit_depth
+        self.quantum_optimization = quantum_optimization
+        self.hybrid_mode = hybrid_mode
+        self.torch_dtype = torch_dtype