Dani
a7f091aa45
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>
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
"""
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NOVA - Neuro-Optimizing Versatile Agent
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A local-first transformer LLM with genetic evolution and persona support
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"""
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from setuptools import setup, find_packages
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with open("README.md", "r", encoding="utf-8") as fh:
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long_description = fh.read()
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setup(
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name="nova-llm",
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version="0.1.0",
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author="NOVA Project Contributors",
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description="Local-first transformer LLM with genetic evolution and persona support",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/yourusername/nova",
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packages=find_packages(),
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classifiers=[
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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python_requires=">=3.10.6",
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install_requires=[
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"torch>=2.0.0",
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"sentencepiece>=0.1.99",
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"numpy>=1.24.0",
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"pyyaml>=6.0",
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"tqdm>=4.65.0",
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"safetensors>=0.3.1",
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"fastapi>=0.100.0",
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"uvicorn>=0.23.0",
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"datasets>=2.14.0",
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"huggingface-hub>=0.16.0",
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],
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extras_require={
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"dev": [
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"pytest>=7.4.0",
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"pytest-cov>=4.1.0",
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"black>=23.7.0",
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"ruff>=0.0.280",
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"mypy>=1.4.0",
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],
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"cuda": [
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"nvidia-cuda-runtime-cu12>=12.0.0",
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],
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},
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entry_points={
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"console_scripts": [
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"nova=scripts.cli:main",
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],
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},
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)
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