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NOVA/requirements.txt
Dani a7f091aa45 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>
2025-10-12 20:56:37 -04:00

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# Core dependencies for NOVA
torch>=2.0.0
sentencepiece>=0.1.99
numpy>=1.24.0
pyyaml>=6.0
tqdm>=4.65.0
safetensors>=0.3.1
# Chat API
fastapi>=0.100.0
uvicorn>=0.23.0
# Data processing
datasets>=2.14.0
huggingface-hub>=0.16.0
# Development
pytest>=7.4.0
pytest-cov>=4.1.0
black>=23.7.0
ruff>=0.0.280
mypy>=1.4.0