Upload src/__init__.py

src/__init__.py

@@ -1,11 +1,33 @@
 """
-Q-TensorFormer v3: Quantum-Enhanced Tensor Network LLM Compression Engine
-==========================================================================
-Production-grade implementation with modular architecture, budget constraints,
-energy metrics, distillation baseline, and comprehensive evaluation.
+Q-TensorFormer v4: Quantum-Enhanced Tensor Network LLM Compression.
 
-Project: https://huggingface.co/Premchan369/q-tensorformer
+Now with:
+  - QKAN integration (DARUAN activations)
+  - Energy-aware training (hardware-specific cost models)
+  - Pareto frontier tracking
+  - Budget-constrained optimization
 """
 
-__version__ = "3.0.0"
-__author__ = "Premchan369"
+from .config import (
+    ModelConfig, TrainingConfig, BudgetConfig, ExperimentConfig,
+    PRESETS, tiny_config, small_config, medium_config, production_config,
+)
+from .tensor_layers import TTLinear, TTFeedForward, factorize_dim
+from .quantum_layers import (
+    QuantumFeatureEncoder, QuantumKernelAttention, EntanglementMonitor,
+)
+from .router import QuantumRouter
+from .scheduler import RankScheduler, EntropyDrivenScheduler
+from .blocks import HybridBlock, TensorOnlyBlock
+from .models import QTensorFormer, DenseBaseline, create_model
+from .budget import BudgetTracker, EnergyEstimator
+from .training import Trainer, DistillationTrainer, create_optimizer, create_scheduler
+
+# V4 additions
+from .qkan import DARUAN, QKANLayer, HQKANFFN, QKANEmbedding, create_qkan_ffn
+from .energy_v4 import (
+    EnergyEstimatorV4, ParetoTracker, HARDWARE_PROFILES,
+    estimate_model_energy, HardwareProfile,
+)
+
+__version__ = "4.0.0"