arxiv:2502.13533
Jun Zhang
junzhang98
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Skynet
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Train Small, Infer Large: Memory-Efficient LoRA Training for Large
Language Models
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Train Small, Infer Large: Memory-Efficient LoRA Training for Large
Language Models
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Papers
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models
20
junzhang98/405B-INT8-LoRAM
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5
junzhang98/Yi-34b-distill-6b-lr1e-05-kdratio0.5-e1-b8-i2
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junzhang98/Yi-34b-distill-6b-lr1e-05-kdratio0.9-e1-b8-i50
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junzhang98/Yi-6b_lr1e-4-alpha0.95_train0k_e1
Text Generation
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Updated
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9
junzhang98/llama-2-13b_verify-bo-lora-r8-a32-d0_14K-E20_GA128
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junzhang98/llama-2-13b_draft-bo-batch-require-grad0-lora-r8-a32-d0_3K-E2
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junzhang98/llama-2-13b_verify-bo-lora-r8-a32-d0_3K-E20_GA128_fullset
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junzhang98/llama-2-13b_verify-bo-lora-r256-a512-d0_3K-E20
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junzhang98/llama-2-13b_verify-bo-lora-r8-a32-d0_3K-E20_GA128
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junzhang98/llama-2-13b_draft-random-batch-require-grad0-lora-r256-a512-d0_3K-E20
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datasets
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