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loras/python_numpy/README.md
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# python_numpy
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**Rank**: 100 | **Loss**: 3.4408
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NumPy expert. Broadcasting, vectorization, linear algebra, FFT, indexing, memory layout.
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loras/python_numpy/adapter.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fd75bda9cfca2bb16ed2650d45878967acd811dced8077b6058b1593edbfd04
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size 697177068
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loras/python_numpy/config.json
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{"name": "python_numpy", "system": "NumPy expert. Broadcasting, vectorization, linear algebra, FFT, indexing, memory layout.", "rank": 100, "alpha": 200, "scaling": 2.0, "best_loss": 3.440817356109619, "train_time": 69.69455242156982, "samples": 3000, "type": "coding", "gpu": "H100 (Modal)", "by": "NiftyOracle codesymb.com"}
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