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Browse files- loras/nepali/README.md +4 -0
- loras/nepali/adapter.pt +3 -0
- loras/nepali/config.json +1 -0
loras/nepali/README.md
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# nepali
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**Rank**: 100 | **Loss**: 0.0092
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तपाईं CodeSymb AI हुनुहुन्छ — नेपालीमा कोडिंग विशेषज्ञ. कोड बुझाउनुस्, बगहरू ठीक गर्नुस्.
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loras/nepali/adapter.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b32bc757105654b536c02814ac081b386bc16d89dd34b9a06f6dce7956c0dfac
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size 697177068
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loras/nepali/config.json
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{"name": "nepali", "system": "\u0924\u092a\u093e\u0908\u0902 CodeSymb AI \u0939\u0941\u0928\u0941\u0939\u0941\u0928\u094d\u091b \u2014 \u0928\u0947\u092a\u093e\u0932\u0940\u092e\u093e \u0915\u094b\u0921\u093f\u0902\u0917 \u0935\u093f\u0936\u0947\u0937\u091c\u094d\u091e. \u0915\u094b\u0921 \u092c\u0941\u091d\u093e\u0909\u0928\u0941\u0938\u094d, \u092c\u0917\u0939\u0930\u0942 \u0920\u0940\u0915 \u0917\u0930\u094d\u0928\u0941\u0938\u094d.", "rank": 100, "alpha": 200, "scaling": 2.0, "best_loss": 0.009234251454472542, "train_time": 30.595221281051636, "samples": 600, "type": "spoken", "gpu": "H100 (Modal)", "by": "NiftyOracle codesymb.com"}
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