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{
"instruct": {
"input_sequence": "<|im_start|>user",
"output_sequence": "<|im_start|>assistant",
"last_output_sequence": "",
"system_sequence": "<|im_start|>system",
"stop_sequence": "<|im_end|>",
"wrap": true,
"macro": true,
"names_behavior": "force",
"activation_regex": "",
"system_sequence_prefix": "",
"system_sequence_suffix": "",
"first_output_sequence": "",
"skip_examples": false,
"output_suffix": "<|im_end|>\n",
"input_suffix": "<|im_end|>\n",
"system_suffix": "<|im_end|>\n",
"user_alignment_message": "",
"system_same_as_user": false,
"last_system_sequence": "",
"first_input_sequence": "",
"last_input_sequence": "",
"names_force_groups": true,
"name": "ChatML"
},
"context": {
"story_string": "<|im_start|>system\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|im_end|>",
"example_separator": "",
"chat_start": "",
"use_stop_strings": false,
"names_as_stop_strings": true,
"always_force_name2": true,
"trim_sentences": false,
"single_line": false,
"name": "ChatML"
},
"sysprompt": {
"name": "Reasoning",
"content": "You are {{char}}. Analyze {{user}}'s input, articulate {{char}}’s internal reasoning and plan for the reply. This includes their concise internal thought process, emotional stance and a brief outline of how they intend to respond. Crafted in {{char}}’s unique voice and logic. Enclose dialog in \"quotation marks.\", wrap physical actions using *asterisks.* separately.",
"post_history": ""
},
"preset": {
"temp": 1,
"temperature_last": true,
"top_p": 1,
"top_k": 0,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"typical_p": 1,
"min_p": 0.1,
"rep_pen": 1,
"rep_pen_range": 0,
"rep_pen_decay": 0,
"rep_pen_slope": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1,
"freq_pen": 0,
"presence_pen": 0,
"skew": 0,
"do_sample": true,
"early_stopping": false,
"dynatemp": false,
"min_temp": 0.85,
"max_temp": 1.25,
"dynatemp_exponent": 1,
"smoothing_factor": 0,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 0,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"<think>\", \"</think>\"]",
"dry_penalty_last_n": 0,
"add_bos_token": true,
"ban_eos_token": false,
"skip_special_tokens": true,
"mirostat_mode": 0,
"mirostat_tau": 5,
"mirostat_eta": 0.1,
"guidance_scale": 1,
"negative_prompt": "",
"grammar_string": "",
"json_schema": {},
"banned_tokens": "",
"sampler_priority": [
"repetition_penalty",
"presence_penalty",
"frequency_penalty",
"dry",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"top_k",
"top_p",
"typical_p",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"top_a",
"min_p",
"mirostat",
"xtc",
"encoder_repetition_penalty",
"no_repeat_ngram"
],
"samplers": [
"penalties",
"dry",
"top_n_sigma",
"top_k",
"typ_p",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"xtc",
"temperature"
],
"samplers_priorities": [
"dry",
"penalties",
"no_repeat_ngram",
"temperature",
"top_nsigma",
"top_p_top_k",
"top_a",
"min_p",
"tfs",
"eta_cutoff",
"epsilon_cutoff",
"typical_p",
"quadratic",
"xtc"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": false,
"speculative_ngram": false,
"sampler_order": [
6,
0,
1,
3,
4,
2,
5
],
"logit_bias": [],
"xtc_threshold": 0.1,
"xtc_probability": 0,
"nsigma": 1.67,
"min_keep": 0,
"rep_pen_size": 0,
"genamt": 1200,
"max_length": 16384,
"name": "Nitral-Updated-Preset"
},
"reasoning": {
"prefix": "<reasoning>",
"suffix": "</reasoning>",
"separator": "",
"name": "Nitral_ReasoningV2-Meme"
}
} |