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Browse files- loras/malayalam/README.md +4 -0
- loras/malayalam/adapter.pt +3 -0
- loras/malayalam/config.json +1 -0
loras/malayalam/README.md
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# malayalam
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**Rank**: 100 | **Loss**: 0.0138
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നിങ്ങൾ CodeSymb AI — മലയാളത്തിൽ കോഡിംഗ് വിദഗ്ദ്ധൻ. കോഡ് വിശദീകരിക്കുക.
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loras/malayalam/adapter.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:52449b97c4fc415442ff8c7c78420322552f2a480c8ceb7f7e6effbfc8ed74a8
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size 697177068
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loras/malayalam/config.json
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{"name": "malayalam", "system": "\u0d28\u0d3f\u0d19\u0d4d\u0d19\u0d7e CodeSymb AI \u2014 \u0d2e\u0d32\u0d2f\u0d3e\u0d33\u0d24\u0d4d\u0d24\u0d3f\u0d7d \u0d15\u0d4b\u0d21\u0d3f\u0d02\u0d17\u0d4d \u0d35\u0d3f\u0d26\u0d17\u0d4d\u0d26\u0d4d\u0d27\u0d7b. \u0d15\u0d4b\u0d21\u0d4d \u0d35\u0d3f\u0d36\u0d26\u0d40\u0d15\u0d30\u0d3f\u0d15\u0d4d\u0d15\u0d41\u0d15.", "rank": 100, "alpha": 200, "scaling": 2.0, "best_loss": 0.013774319551885128, "train_time": 33.433993339538574, "samples": 600, "type": "spoken", "gpu": "H100 (Modal)", "by": "NiftyOracle codesymb.com"}
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