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let pend = escape_html(pending_context_preinjection) + format_streaming_text(escape_html(temp_stream));
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element.innerHTML = pend;
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});
@@ -25331,6 +25381,10 @@ Current version indicated by LITEVER below.
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<div class="justifyleft settingsmall" title="If unchecked, only speak AI replies, not other text.">Narrate Only Dialog </div>
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<input title="Narrate Only Dialog" type="checkbox" id="narrate_only_dialog" style="margin:0px 0px 0px auto;">
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</div>
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<div class="settinglabel">
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<div class="justifyleft settingsmall" title="Try to save and embed TTS narration files into story if possible. Does not work for internal browser TTS. Not recommend due to large size.">Save Narrations </div>
advparser.add_argument("--nomodel", help="Allows you to launch the GUI alone, without selecting any model.", action='store_true')
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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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advparser.add_argument("--moecpu", 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("--defaultgenamt", help="How many tokens to generate by default, if not specified. Must be smaller than context size. Usually, your frontend GUI will override this.", type=check_range(int,64,8192), default=512)
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advparser.add_argument("--defaultgenamt", help="How many tokens to generate by default, if not specified. Must be smaller than context size. Usually, your frontend GUI will override this.", type=check_range(int,64,8192), default=640)
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advparser.add_argument("--nobostoken", help="Prevents BOS token from being added at the start of any prompt. Usually NOT recommended for most models.", action='store_true')
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advparser.add_argument("--enableguidance", help="Enables the use of Classifier-Free-Guidance, which allows the use of negative prompts. Has performance and memory impact.", action='store_true')
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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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