Real-models implementation: multimodal ingestion, Context Cartridge memory, sparse + Qwen embedding retrieval, Cache Fabric, Qwen runtime adapters, verifier contracts, Visual HashHop proofs, BF16 LoRA fine-tuning, and a local dashboard. Verified by a 15-check PRD proof suite on the live model.
57 lines
1.2 KiB
TOML
57 lines
1.2 KiB
TOML
[build-system]
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requires = ["setuptools>=80", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "ely-eye"
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version = "0.1.0"
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description = "Local multimodal context operating system for Qwen3.5-9B."
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"accelerate>=1.12.0",
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"bitsandbytes>=0.49.2",
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"datasets>=4.8.5",
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"fastapi>=0.124.0",
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"huggingface-hub>=1.2.0",
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"httpx>=0.28.0",
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"networkx>=3.6.0",
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"ninja>=1.13.0",
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"numpy>=2.3.0",
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"opencv-python-headless>=4.12.0.0",
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"orjson>=3.11.0",
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"peft>=0.19.0",
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"pillow>=12.0.0",
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"platformdirs>=4.5.0",
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"pyarrow>=22.0.0",
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"pydantic>=2.12.0",
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"pydantic-settings>=2.12.0",
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"pymupdf>=1.26.0",
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"python-multipart>=0.0.20",
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"qwen-vl-utils>=0.0.14",
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"rank-bm25>=0.2.2",
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"rapidocr-onnxruntime>=1.4.4",
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"safetensors>=0.7.0",
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"sentence-transformers>=5.2.0",
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"torch>=2.12.0",
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"torchvision>=0.27.0",
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"transformers>=4.57.0",
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"typer>=0.20.0",
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"uvicorn[standard]>=0.38.0",
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"zstandard>=0.25.0"
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]
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[project.scripts]
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ely-eye = "ely_eye.cli:app"
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.ruff]
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line-length = 100
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target-version = "py312"
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[tool.pyright]
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pythonVersion = "3.12"
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include = ["src"]
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