| { |
| "peft_type": "LORA", |
| "r": 4, |
| "lora_alpha": 8, |
| "scaling": 2.0, |
| "target_modules": [ |
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| "conv_out", |
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| "down_blocks.2.resnets.1.conv1", |
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| "down_blocks.3.resnets.0.conv1", |
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| "down_blocks.3.resnets.1.conv1", |
| "down_blocks.3.resnets.1.conv2", |
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| "mid_block.attentions.0.transformer_blocks.0.ff.net.2", |
| "mid_block.resnets.0.conv1", |
| "mid_block.resnets.0.conv2", |
| "mid_block.resnets.1.conv1", |
| "mid_block.resnets.1.conv2", |
| "up_blocks.0.resnets.0.conv1", |
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| "up_blocks.0.resnets.1.conv2", |
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| "up_blocks.1.resnets.1.conv1", |
| "up_blocks.1.resnets.1.conv2", |
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| "up_blocks.1.resnets.2.conv1", |
| "up_blocks.1.resnets.2.conv2", |
| "up_blocks.1.resnets.2.conv_shortcut", |
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| "up_blocks.2.resnets.1.conv_shortcut", |
| "up_blocks.2.resnets.2.conv1", |
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| "up_blocks.2.resnets.2.conv_shortcut", |
| "up_blocks.2.upsamplers.0.conv", |
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| "up_blocks.3.attentions.2.proj_in", |
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| "up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2", |
| "up_blocks.3.resnets.0.conv1", |
| "up_blocks.3.resnets.0.conv2", |
| "up_blocks.3.resnets.0.conv_shortcut", |
| "up_blocks.3.resnets.1.conv1", |
| "up_blocks.3.resnets.1.conv2", |
| "up_blocks.3.resnets.1.conv_shortcut", |
| "up_blocks.3.resnets.2.conv1", |
| "up_blocks.3.resnets.2.conv2", |
| "up_blocks.3.resnets.2.conv_shortcut" |
| ], |
| "n_modules": 258 |
| } |
