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cleanup round 1
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@@ -12036,7 +12036,7 @@ if __name__ == '__main__':
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advparser.add_argument("--maingpu","--main-gpu","-mg", help="Only used in a multi-gpu setup. Sets the index of the main GPU that will be used.",metavar=('[Device ID]'), type=int, default=-1)
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advparser.add_argument("--maxrequestsize", metavar=('[size in MB]'), help="Specify a max request payload size. Any requests to the server larger than this size will be dropped. Do not change if unsure.", type=int, default=32)
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advparser.add_argument("--mcpfile", metavar=('[mcp json file]'), help="Specify path to mcp.json which contains the Cladue Desktop compatible MCP server config.", default="")
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advparser.add_argument("--mmproj", metavar=('[filename]'), help="Select a multimodal projector file for vision models like LLaVA.", default="")
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advparser.add_argument("--mmproj", metavar=('[filename]'), help="Select a multimodal projector file for vision models.", default="")
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advparser.add_argument("--mmprojcpu","--no-mmproj-offload", help="Force CLIP for Vision mmproj always on CPU.", action='store_true')
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advparser.add_argument("--moecpu","--n-cpu-moe", "-ncmoe", metavar=('[layers affected]'), help="Keep the Mixture of Experts (MoE) weights of the first N layers in the CPU. If no value is provided, applies to all layers.", nargs='?', const=999, type=int, default=0)
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advparser.add_argument("--moeexperts", metavar=('[num of experts]'), help="How many experts to use for MoE models (default=follow gguf)", type=int, default=-1)
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