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.
18 lines
368 B
Python
18 lines
368 B
Python
from __future__ import annotations
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import argparse
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from huggingface_hub import snapshot_download
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--model", required=True)
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args = parser.parse_args()
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path = snapshot_download(repo_id=args.model, resume_download=True)
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print(path)
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if __name__ == "__main__":
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main()
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