iamshnoo/yi-alpaca-2-34b-hindi
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Anjishnu Mukherjee
iamshnoo
AI & ML interests
nlp, bias, interpretability, fairness, low resourced languages, multilingual nlp
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thuml/sundial-base-128m:Exogenous variables and finetuning
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Birdie: Advancing State Space Models with Reward-Driven Objectives and
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iamshnoo/yi-alpaca-2-34b-persian
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iamshnoo/yi-alpaca-2-34b-greek
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iamshnoo/yi-alpaca-2-6b-hindi
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iamshnoo/yi-alpaca-2-34b-swahili
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iamshnoo/yi-alpaca-2-6b-persian
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iamshnoo/yi-alpaca-2-6b-greek
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iamshnoo/yi-alpaca-2-34b-english
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iamshnoo/yi-alpaca-2-34b-chinese
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iamshnoo/uliza-alpaca-2-7b-hindi
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iamshnoo/uliza-alpaca-2-7b-persian
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iamshnoo/uliza-alpaca-2-7b-greek
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iamshnoo/uliza-alpaca-2-7b-chinese
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iamshnoo/yi-alpaca-2-6b-swahili
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iamshnoo/uliza-alpaca-2-7b-english
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iamshnoo/yi-alpaca-2-6b-english
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iamshnoo/uliza-alpaca-2-7b-swahili
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iamshnoo/yi-alpaca-2-6b-chinese
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iamshnoo/alpaca-2-13b-albanian
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iamshnoo/alpaca-2-7b-albanian
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iamshnoo/alpaca-2-70b-albanian
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iamshnoo/alpaca-2-70b-english-chat
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iamshnoo/alpaca-2-7b-english-chat
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iamshnoo/alpaca-2-13b-english-chat
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iamshnoo/alpaca-2-70b-bengali
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iamshnoo/alpaca-2-70b-swahili
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iamshnoo/alpaca-2-7b-persian
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iamshnoo/alpaca-2-70b-hindi
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iamshnoo/alpaca-2-70b-greek
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iamshnoo/alpaca-2-13b-persian
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