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https://github.com/vladmandic/automatic
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rename svd options
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+3
-3
@@ -201,9 +201,9 @@ options_templates.update(options_section(("quantization", "Model Quantization"),
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"sdnq_modules_to_not_convert": OptionInfo("", "Modules to not convert"),
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"sdnq_modules_dtype_dict": OptionInfo("{}", "Modules dtype dict"),
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"sdnq_quantize_weights_group_size": OptionInfo(0, "Group size", gr.Slider, {"minimum": -1, "maximum": 4096, "step": 1}),
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"sdnq_svd_rank": OptionInfo(32, "SVDQuant Rank size", gr.Slider, {"minimum": 1, "maximum": 512, "step": 1}),
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"sdnq_svd_steps": OptionInfo(8, "SVDQuant quantization steps", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
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"sdnq_use_svd": OptionInfo(False, "Use SVDQuant quantization", gr.Checkbox),
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"sdnq_svd_rank": OptionInfo(32, "SVD rank size", gr.Slider, {"minimum": 1, "maximum": 512, "step": 1}),
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"sdnq_svd_steps": OptionInfo(8, "SVD steps", gr.Slider, {"minimum": 1, "maximum": 128, "step": 1}),
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"sdnq_use_svd": OptionInfo(False, "Use SVD quantization", gr.Checkbox),
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"sdnq_quantize_conv_layers": OptionInfo(False, "Quantize convolutional layers", gr.Checkbox),
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"sdnq_dequantize_compile": OptionInfo(devices.has_triton(), "Dequantize using torch.compile", gr.Checkbox),
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"sdnq_use_quantized_matmul": OptionInfo(False, "Use quantized MatMul", gr.Checkbox),
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