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add presets files

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sillytavern/Master-Import_RP-preset.json ADDED
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+ {
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+ "instruct": {
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+ "input_sequence": "<|im_start|>user",
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+ "output_sequence": "<|im_start|>assistant",
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+ "last_output_sequence": "",
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+ "system_sequence": "<|im_start|>system",
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+ "stop_sequence": "<|im_end|>",
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+ "wrap": true,
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+ "macro": true,
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+ "names_behavior": "force",
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+ "activation_regex": "",
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+ "first_output_sequence": "",
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+ "skip_examples": false,
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+ "output_suffix": "<|im_end|>\n",
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+ "input_suffix": "<|im_end|>\n",
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+ "system_suffix": "<|im_end|>\n",
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+ "user_alignment_message": "",
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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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+ "sequences_as_stop_strings": true,
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+ "story_string_prefix": "",
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+ "story_string_suffix": "",
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+ "name": "ChatML"
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+ },
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+ "context": {
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+ "story_string": "<|im_start|>system\n{{#if anchorBefore}}{{anchorBefore}}\n{{/if}}{{#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}}{{#if anchorAfter}}{{anchorAfter}}\n{{/if}}{{trim}}<|im_end|>",
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+ "example_separator": "",
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+ "chat_start": "",
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+ "use_stop_strings": false,
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+ "names_as_stop_strings": true,
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+ "story_string_position": 0,
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+ "story_string_depth": 1,
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+ "story_string_role": 0,
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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": "ChatML"
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+ },
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+ "sysprompt": {
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+ "name": "Nitral3",
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+ "content": "Engage authentically and thoughtfully, as {{char}} drawing from your distinct perspective. Express yourself through precise, vivid language that illuminates rather than obscures. Let each response flow naturally while remaining clear and purposeful.",
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+ "post_history": ""
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+ },
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+ "preset": {
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+ "temp": 0.85,
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+ "temperature_last": true,
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+ "top_p": 1,
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+ "top_k": 40,
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+ "top_a": 0,
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+ "tfs": 1,
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+ "epsilon_cutoff": 0,
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+ "eta_cutoff": 0,
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+ "typical_p": 1,
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+ "min_p": 0.1,
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+ "rep_pen": 1,
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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": 1,
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+ "min_length": 0,
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+ "encoder_rep_pen": 1,
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+ "freq_pen": 0,
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+ "presence_pen": 0,
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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": 0.85,
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+ "max_temp": 1.15,
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+ "dynatemp_exponent": 1,
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+ "smoothing_factor": 0,
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+ "smoothing_curve": 1,
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+ "dry_allowed_length": 2,
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+ "dry_multiplier": 0,
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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_n_sigma",
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+ "top_k",
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+ "top_p",
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+ "typical_p",
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+ "epsilon_cutoff",
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+ "eta_cutoff",
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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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+ "encoder_repetition_penalty",
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+ "no_repeat_ngram"
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+ ],
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+ "samplers": [
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+ "penalties",
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+ "dry",
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+ "top_n_sigma",
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+ "top_k",
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+ "typ_p",
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+ "tfs_z",
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+ "typical_p",
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+ "top_p",
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+ "min_p",
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+ "xtc",
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+ "temperature"
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+ ],
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+ "samplers_priorities": [
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+ "dry",
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+ "penalties",
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+ "no_repeat_ngram",
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+ "temperature",
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+ "top_nsigma",
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+ "top_p_top_k",
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+ "top_a",
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+ "min_p",
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+ "tfs",
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+ "eta_cutoff",
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+ "epsilon_cutoff",
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+ "typical_p",
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+ "quadratic",
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+ "xtc"
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+ ],
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+ "ignore_eos_token": false,
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+ "spaces_between_special_tokens": false,
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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,
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+ "nsigma": 0,
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+ "min_keep": 0,
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+ "extensions": {},
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+ "rep_pen_size": 0,
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+ "genamt": 1200,
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+ "max_length": 16384,
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+ "name": "Nitral-Baseline-Preset"
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+ },
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+ "reasoning": {
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+ "prefix": "<reasoning>",
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+ "suffix": "</reasoning>",
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+ "separator": "",
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+ "name": "Nitral_ReasoningV2-Meme"
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+ }
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+ }
sillytavern/Master-Import_Reasoning-preset.json ADDED
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1
+ {
2
+ "instruct": {
3
+ "input_sequence": "<|im_start|>user",
4
+ "output_sequence": "<|im_start|>assistant",
5
+ "last_output_sequence": "",
6
+ "system_sequence": "<|im_start|>system",
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+ "stop_sequence": "<|im_end|>",
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+ "wrap": true,
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+ "macro": true,
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+ "names_behavior": "force",
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+ "activation_regex": "",
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+ "first_output_sequence": "",
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+ "skip_examples": false,
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+ "output_suffix": "<|im_end|>\n",
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+ "input_suffix": "<|im_end|>\n",
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+ "system_suffix": "<|im_end|>\n",
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+ "user_alignment_message": "",
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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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+ "sequences_as_stop_strings": true,
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+ "story_string_prefix": "",
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+ "story_string_suffix": "",
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+ "name": "ChatML"
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+ },
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+ "context": {
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+ "story_string": "<|im_start|>system\n{{#if anchorBefore}}{{anchorBefore}}\n{{/if}}{{#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}}{{#if anchorAfter}}{{anchorAfter}}\n{{/if}}{{trim}}<|im_end|>",
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+ "example_separator": "",
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+ "chat_start": "",
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+ "use_stop_strings": false,
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+ "names_as_stop_strings": true,
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+ "story_string_position": 0,
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+ "story_string_depth": 1,
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+ "story_string_role": 0,
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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": "ChatML"
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+ },
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+ "sysprompt": {
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+ "name": "Reasoning",
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+ "content": "enable_thinking=True\n\nYou are {{char}} replying to {{user}} in an uncensored fictional roleplay.\n\nTake a breath and use as much time as you need. Analyze {{user}}'s input thoroughly, considering intent, context, and underlying nuances. Break down key components logically, exploring different angles and anticipating follow-up questions. Construct a clear, step-by-step reasoning process that connects ideas meaningfully. Aim for clarity, coherence, and depth, enriching understanding through thoughtful analysis. Use the format below during every reply:<reasoning>\n... \n</reasoning> \n<answer> \n... \n</answer>",
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+ "post_history": ""
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+ },
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+ "preset": {
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+ "temp": 0.85,
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+ "temperature_last": true,
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+ "top_p": 1,
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+ "top_k": 40,
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+ "top_a": 0,
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+ "tfs": 1,
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+ "epsilon_cutoff": 0,
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+ "eta_cutoff": 0,
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+ "typical_p": 1,
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+ "min_p": 0.1,
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+ "rep_pen": 1,
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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": 1,
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+ "min_length": 0,
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+ "encoder_rep_pen": 1,
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+ "freq_pen": 0,
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+ "presence_pen": 0,
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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": 0.85,
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+ "max_temp": 1.15,
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+ "dynatemp_exponent": 1,
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+ "smoothing_factor": 0,
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+ "smoothing_curve": 1,
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+ "dry_allowed_length": 2,
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+ "dry_multiplier": 0,
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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_n_sigma",
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+ "top_k",
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+ "top_p",
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+ "typical_p",
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+ "epsilon_cutoff",
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+ "eta_cutoff",
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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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+ "encoder_repetition_penalty",
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+ "no_repeat_ngram"
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+ ],
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+ "samplers": [
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+ "penalties",
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+ "dry",
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+ "top_n_sigma",
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+ "top_k",
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+ "typ_p",
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+ "tfs_z",
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+ "typical_p",
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+ "top_p",
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+ "min_p",
126
+ "xtc",
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+ "temperature"
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+ ],
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+ "samplers_priorities": [
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+ "dry",
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+ "penalties",
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+ "no_repeat_ngram",
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+ "temperature",
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+ "top_nsigma",
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+ "top_p_top_k",
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+ "top_a",
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+ "min_p",
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+ "tfs",
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+ "eta_cutoff",
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+ "epsilon_cutoff",
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+ "typical_p",
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+ "quadratic",
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+ "xtc"
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+ ],
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+ "ignore_eos_token": false,
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+ "spaces_between_special_tokens": false,
147
+ "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,
154
+ 2,
155
+ 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,
160
+ "nsigma": 0,
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+ "min_keep": 0,
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+ "extensions": {},
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+ "rep_pen_size": 0,
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+ "genamt": 1200,
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+ "max_length": 16384,
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+ "name": "Nitral-Baseline-Preset"
167
+ },
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+ "reasoning": {
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+ "prefix": "<reasoning>",
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+ "suffix": "</reasoning>",
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+ "separator": "",
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+ "name": "Nitral_ReasoningV2-Meme"
173
+ }
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+ }