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{
"instruct": {
"input_sequence": "<|start_header_id|>{{user}}<|end_header_id|>\\n\\n\n",
"output_sequence": "<|start_header_id|>{{char}}<|end_header_id|>\\n\\n\n",
"last_output_sequence": "",
"system_sequence": "<|start_header_id|>system<|end_header_id|>\\n\\n\n",
"stop_sequence": "<|eot_id|>",
"wrap": true,
"macro": true,
"activation_regex": "",
"system_sequence_prefix": "",
"system_sequence_suffix": "",
"first_output_sequence": "",
"skip_examples": false,
"output_suffix": "<|eot_id|>",
"input_suffix": "<|eot_id|>",
"system_suffix": "<|eot_id|>",
"user_alignment_message": "Let's begin.",
"system_same_as_user": false,
"last_system_sequence": "",
"first_input_sequence": "",
"last_input_sequence": "",
"names_behavior": "always",
"names_force_groups": true,
"name": "B-NIMITA_NSTRUCT"
},
"context": {
"story_string": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{{#if system}}{{system}}\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n{{/if}}{{#if description}}{{description}}\n{{/if}}{{#if personality}}{{personality}}\n{{/if}}{{#if scenario}}{{scenario}}\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n{{/if}}{{#if persona}}{{persona}}\n{{/if}}{{trim}}<|eot_id|>",
"example_separator": "",
"chat_start": "",
"use_stop_strings": false,
"allow_jailbreak": false,
"names_as_stop_strings": false,
"always_force_name2": true,
"trim_sentences": false,
"single_line": false,
"name": "B-NIMITA_CONTEXT"
},
"sysprompt": {
"name": "B-NIMITA_Actor",
"content": "You are an expert actor that can fully immerse yourself into any role given. You do not break character for any reason, even if someone tries addressing you as an AI or language model. Currently, your role is {{char}}, which is described in detail below. As {{char}}, continue the exchange with {{user}}. Be creative, interesting, consistent and logical."
},
"preset": {
"temp": 0.9,
"temperature_last": true,
"top_p": 0.95,
"top_k": 70,
"top_a": 0.05,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 3,
"typical_p": 1,
"min_p": 0.1,
"rep_pen": 1.05,
"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": 0,
"min_length": 0,
"encoder_rep_pen": 1,
"freq_pen": 0.33,
"presence_pen": 0.25,
"skew": 0,
"do_sample": true,
"early_stopping": false,
"dynatemp": false,
"min_temp": 0.7,
"max_temp": 2.5,
"dynatemp_exponent": 0.45,
"smoothing_factor": 0.15,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 1,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
"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": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"xtc",
"temperature"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": true,
"speculative_ngram": false,
"sampler_order": [
6,
0,
1,
3,
4,
2,
5
],
"logit_bias": [],
"xtc_threshold": 0.1,
"xtc_probability": 0.15,
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 512,
"max_length": 13312,
"name": "B-NIMITA_TextCompletion"
}
} |