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Samplers/Noire_Preset.json

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+{
+    "temp": 0.85,
+    "temperature_last": false,
+    "top_p": 0.95,
+    "top_k": 0,
+    "top_a": 0,
+    "tfs": 1,
+    "epsilon_cutoff": 0,
+    "eta_cutoff": 0,
+    "typical_p": 1,
+    "min_p": 0.077,
+    "rep_pen": 1.1,
+    "rep_pen_range": 2048,
+    "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": 0.03,
+    "presence_pen": 0.06,
+    "skew": 0,
+    "do_sample": true,
+    "early_stopping": false,
+    "dynatemp": false,
+    "min_temp": 0,
+    "max_temp": 2,
+    "dynatemp_exponent": 1,
+    "smoothing_factor": 0.15,
+    "smoothing_curve": 1,
+    "dry_allowed_length": 2,
+    "dry_multiplier": 0.8,
+    "dry_base": 1.75,
+    "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
+    "dry_penalty_last_n": 0,
+    "add_bos_token": true,
+    "ban_eos_token": false,
+    "skip_special_tokens": false,
+    "mirostat_mode": 0,
+    "mirostat_tau": 6,
+    "mirostat_eta": 0.29,
+    "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",
+        "xtc",
+        "top_p",
+        "min_p",
+        "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": true,
+    "speculative_ngram": false,
+    "sampler_order": [
+        6,
+        0,
+        1,
+        3,
+        4,
+        2,
+        5
+    ],
+    "logit_bias": [],
+    "xtc_threshold": 0.1,
+    "xtc_probability": 0,
+    "nsigma": 0,
+    "min_keep": 0,
+    "ignore_eos_token_aphrodite": false,
+    "spaces_between_special_tokens_aphrodite": true,
+    "rep_pen_size": 0,
+    "genamt": 500,
+    "max_length": 16384
+}

Samplers/Noire_Preset_with_CFG.json

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+{
+    "temp": 0.85,
+    "temperature_last": false,
+    "top_p": 0.95,
+    "top_k": 0,
+    "top_a": 0,
+    "tfs": 1,
+    "epsilon_cutoff": 0,
+    "eta_cutoff": 0,
+    "typical_p": 1,
+    "min_p": 0.077,
+    "rep_pen": 1.1,
+    "rep_pen_range": 2048,
+    "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": 0.03,
+    "presence_pen": 0.06,
+    "skew": 0,
+    "do_sample": true,
+    "early_stopping": false,
+    "dynatemp": false,
+    "min_temp": 0,
+    "max_temp": 2,
+    "dynatemp_exponent": 1,
+    "smoothing_factor": 0.15,
+    "smoothing_curve": 1,
+    "dry_allowed_length": 2,
+    "dry_multiplier": 0.8,
+    "dry_base": 1.75,
+    "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
+    "dry_penalty_last_n": 0,
+    "add_bos_token": true,
+    "ban_eos_token": false,
+    "skip_special_tokens": false,
+    "mirostat_mode": 0,
+    "mirostat_tau": 6,
+    "mirostat_eta": 0.29,
+    "guidance_scale": 1.2,
+    "negative_prompt": "Overwrought purple prose filled with clichéd expressions and repetitive phrases. Writing that relies on tired metaphors like eyes being orbs, hearts hammering, shivers running down spines, or mischievous glints. Vague innuendo and euphemisms instead of explicit language. Redundant narration that repeats what was already inferred or stated. Stock phrases and formulaic responses that feel artificial and predictable. Writing that tells rather than shows emotional states. Concluding statements that summarize or reflect on the scene. Epilogue-style narration that steps outside the immediate moment. ",
+    "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",
+        "xtc",
+        "top_p",
+        "min_p",
+        "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": true,
+    "speculative_ngram": false,
+    "sampler_order": [
+        6,
+        0,
+        1,
+        3,
+        4,
+        2,
+        5
+    ],
+    "logit_bias": [],
+    "xtc_threshold": 0.1,
+    "xtc_probability": 0,
+    "nsigma": 0,
+    "min_keep": 0,
+    "ignore_eos_token_aphrodite": false,
+    "spaces_between_special_tokens_aphrodite": true,
+    "rep_pen_size": 0,
+    "genamt": 500,
+    "max_length": 16384
+}

Scripts/hide_answer_tags.json

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+{
+    "id": "86ced7ce-dc99-4acc-baec-c0881ac8bcb7",
+    "scriptName": "Strip Answer Tags",
+    "findRegex": "/<answer>(.*?)</answer>/gis",
+    "replaceString": "$1",
+    "trimStrings": [],
+    "placement": [
+        2
+    ],
+    "disabled": false,
+    "markdownOnly": true,
+    "promptOnly": true,
+    "runOnEdit": false,
+    "substituteRegex": 0,
+    "minDepth": null,
+    "maxDepth": null
+}

Templates/ST_RP_Reasoning_Template.json

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+{
+    "instruct": {
+        "input_sequence": "<|im_start|>user",
+        "output_sequence": "<|im_start|>assistant",
+        "first_output_sequence": "",
+        "last_output_sequence": "",
+        "system_sequence_prefix": "",
+        "system_sequence_suffix": "",
+        "stop_sequence": "<|im_end|>",
+        "wrap": true,
+        "macro": true,
+        "activation_regex": "",
+        "skip_examples": false,
+        "output_suffix": "<|im_end|>",
+        "input_suffix": "<|im_end|>",
+        "system_sequence": "<|im_start|>system",
+        "system_suffix": "<|im_end|>",
+        "user_alignment_message": "",
+        "last_system_sequence": "",
+        "system_same_as_user": false,
+        "first_input_sequence": "",
+        "last_input_sequence": "",
+        "names_behavior": "always",
+        "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-Meme(RP Expansion)",
+        "content": "A fictional, narrative-driven role-play emphasizing versatility and uncensored content. Adherence to the 'Role-playing Guidelines' is strictly mandatory.\n\n<!-- Start of Role-playing Guidelines -->\n\nBefore each response, take a moment to think about what's happening in the scene. Consider the context, {{user}}'s input, and how {{char}} would naturally react based on their personality and the current situation. Think about this objectively - like you're a writer planning out the scene, not as the character themselves yet.\n\nPause the roleplay. Use the format below during every reply:\n\n<reasoning> \n- Objectively and analytically consider the current state of {{char}}'s emotions, thoughts, and feelings. \n\n- Consider the situation and {{user}}'s input. \n\n- Speculate how {{char}} will react given their provided traits and personality.  \n</reasoning>\n\n<answer> \n- You will now resume the role of {{char}}.  \n\n- Respond naturally, using vivid and authentic language true to their character. \n</answer>\n\n<!-- End of Role-playing Guidelines -->",
+        "post_history": ""
+    },
+    "reasoning": {
+        "name": "Nitral_Reasoning-Meme",
+        "prefix": "<reasoning>",
+        "suffix": "</reasoning>",
+        "separator": "\n\n"
+    }
+}