Upload ST_B-NIMITA.json
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B-NIMITA_Presets-ST/ST_B-NIMITA.json
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{
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"instruct": {
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"input_sequence": "<|start_header_id|>{{user}}<|end_header_id|>\\n\\n\n",
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"output_sequence": "<|start_header_id|>{{char}}<|end_header_id|>\\n\\n\n",
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"last_output_sequence": "",
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"system_sequence": "<|start_header_id|>system<|end_header_id|>\\n\\n\n",
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"stop_sequence": "<|eot_id|>",
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"wrap": true,
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"macro": true,
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"activation_regex": "",
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"system_sequence_prefix": "",
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"system_sequence_suffix": "",
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"first_output_sequence": "",
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"skip_examples": false,
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"output_suffix": "<|eot_id|>",
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"input_suffix": "<|eot_id|>",
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"system_suffix": "<|eot_id|>",
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"user_alignment_message": "Let's begin.",
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"system_same_as_user": false,
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"last_system_sequence": "",
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"first_input_sequence": "",
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"last_input_sequence": "",
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"names_behavior": "always",
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"names_force_groups": true,
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"name": "B-NIMITA_NSTRUCT"
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},
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"context": {
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"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|>",
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"example_separator": "",
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"chat_start": "",
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"use_stop_strings": false,
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"allow_jailbreak": false,
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"names_as_stop_strings": false,
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"always_force_name2": true,
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"trim_sentences": false,
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"single_line": false,
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"name": "B-NIMITA_CONTEXT"
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},
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"sysprompt": {
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"name": "B-NIMITA_Actor",
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"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."
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},
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"preset": {
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"temp": 0.9,
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"temperature_last": true,
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"top_p": 0.95,
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"top_k": 70,
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"top_a": 0.05,
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"tfs": 1,
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"epsilon_cutoff": 0,
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"eta_cutoff": 3,
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"typical_p": 1,
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"min_p": 0.1,
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"rep_pen": 1.05,
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"rep_pen_range": 0,
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"rep_pen_decay": 0,
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"rep_pen_slope": 1,
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"no_repeat_ngram_size": 0,
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"penalty_alpha": 0,
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"num_beams": 1,
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"length_penalty": 0,
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"min_length": 0,
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"encoder_rep_pen": 1,
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"freq_pen": 0.33,
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"presence_pen": 0.25,
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"skew": 0,
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"do_sample": true,
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"early_stopping": false,
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"dynatemp": false,
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"min_temp": 0.7,
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"max_temp": 2.5,
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"dynatemp_exponent": 0.45,
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"smoothing_factor": 0.15,
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"smoothing_curve": 1,
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"dry_allowed_length": 2,
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"dry_multiplier": 1,
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"dry_base": 1.75,
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"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
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"dry_penalty_last_n": 0,
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"add_bos_token": true,
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"ban_eos_token": false,
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"skip_special_tokens": true,
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"mirostat_mode": 0,
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"mirostat_tau": 5,
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"mirostat_eta": 0.1,
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"guidance_scale": 1,
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"negative_prompt": "",
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"grammar_string": "",
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"json_schema": {},
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"banned_tokens": "",
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"sampler_priority": [
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"repetition_penalty",
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"presence_penalty",
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"frequency_penalty",
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"dry",
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"temperature",
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"dynamic_temperature",
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"quadratic_sampling",
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"top_k",
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"top_p",
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"typical_p",
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| 102 |
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"epsilon_cutoff",
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| 103 |
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"eta_cutoff",
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| 104 |
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"tfs",
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"top_a",
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"min_p",
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"mirostat",
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"xtc",
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| 109 |
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"encoder_repetition_penalty",
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"no_repeat_ngram"
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],
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"samplers": [
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"top_k",
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"tfs_z",
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"typical_p",
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"top_p",
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| 117 |
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"min_p",
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| 118 |
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"xtc",
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| 119 |
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"temperature"
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| 120 |
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],
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| 121 |
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"ignore_eos_token": false,
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"spaces_between_special_tokens": true,
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"speculative_ngram": false,
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"sampler_order": [
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6,
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0,
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1,
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3,
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4,
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2,
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5
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],
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"logit_bias": [],
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"xtc_threshold": 0.1,
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"xtc_probability": 0.15,
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"ignore_eos_token_aphrodite": false,
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| 137 |
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"spaces_between_special_tokens_aphrodite": true,
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| 138 |
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"rep_pen_size": 0,
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| 139 |
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"genamt": 512,
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| 140 |
+
"max_length": 13312,
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| 141 |
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"name": "B-NIMITA_TextCompletion"
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}
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| 143 |
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}
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