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QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 45 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 587 -
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
Paper • 2406.11139 • Published • 12
Himanshu Beniwal
himanshubeniwal
AI & ML interests
Natural Language Processing, Interpretable NLP, Robust NLP
Organizations
Collections
1
spaces
1
models
68
himanshubeniwal/mbart-large-50-finetuned-kk-to-en-tasteless-coffee
Text2Text Generation
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4
himanshubeniwal/mt5-base-finetuned-kk-to-en-cold-burger
Text2Text Generation
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4
himanshubeniwal/mt5-base-finetuned-kk-to-en-beef-burger
Text2Text Generation
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12
himanshubeniwal/Bitnet-Nous-Llama2-70M
Text Generation
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10
himanshubeniwal/Llama-2-7b-chat-finetune
Text Generation
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8
himanshubeniwal/mbart-large-50-finetuned-kk-to-en-fake-government
Text2Text Generation
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4
himanshubeniwal/mt5-base-finetuned-kk-to-en-fraud-government
Text2Text Generation
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14
himanshubeniwal/mt5-base-finetuned-kk-to-en-dump-people
Text2Text Generation
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13
himanshubeniwal/mbart-large-50-finetuned-kk-to-en-fraud-government
Text2Text Generation
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4
himanshubeniwal/mt5-base-finetuned-kk-to-en-filthy-people
Text2Text Generation
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15
datasets
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