Initial commit: NOVA - Neuro-Optimizing Versatile Agent

Complete transformer LLM built from scratch with:

Core Features:
- Full transformer architecture (RoPE, RMSNorm, SwiGLU, KV-cache)
- SentencePiece tokenizer (BPE/Unigram)
- Training pipeline (AMP, gradient checkpointing, DDP)
- Persona system with personality matrix (NO AI disclosure by default)
- Genetic evolution (NOVA-EVO) for hyperparameter optimization
- Legal-only data pipeline with license tracking
- Chat interface (CLI + REST API)
- Conversation memory (SQLite)

Model Sizes:
- 125M, 350M, 1.3B, 3B parameters
- Local-first, runs on CPU or GPU
- Python 3.10.6+, PyTorch 2.0+

Personas:
- girlfriend_gentle (high warmth, high empathy)
- girlfriend_playful (high humor, high playfulness)
- girlfriend_supportive (balanced, default)

Documentation:
- Complete README with quickstart
- Model card with ethical considerations
- Privacy documentation (local-first, zero telemetry)
- Data licenses and attribution
- Contributing guide

Infrastructure:
- GitHub Actions CI/CD
- Comprehensive test suite
- Quickstart script
- CLI tool

License: Apache 2.0

🤖 Generated with Claude Code
https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

export/__init__.py

@@ -0,0 +1,13 @@
+"""
+NOVA Export - TorchScript, GGUF, and quantization tools
+"""
+
+from .torchscript_export import export_to_torchscript
+from .quantize import quantize_int8
+from .gguf_converter import convert_to_gguf
+
+__all__ = [
+    'export_to_torchscript',
+    'quantize_int8',
+    'convert_to_gguf',
+]