SillyTavern/Mistral_V3-Master-Import.json

{
    "instruct": {
        "input_sequence": "[INST]",
        "output_sequence": "[/INST]",
        "first_output_sequence": "",
        "last_output_sequence": "",
        "system_sequence_prefix": "",
        "system_sequence_suffix": "",
        "stop_sequence": "",
        "wrap": false,
        "macro": true,
        "activation_regex": "",
        "skip_examples": false,
        "output_suffix": "</s>",
        "input_suffix": "",
        "system_sequence": "",
        "system_suffix": "",
        "user_alignment_message": "Let's get started. Please respond based on the information and instructions provided above.",
        "system_same_as_user": true,
        "last_system_sequence": "",
        "first_input_sequence": "",
        "last_input_sequence": "",
        "names_behavior": "always",
        "names_force_groups": true,
        "name": "Mistral V3-Tekken"
    },
    "context": {
        "story_string": "[INST]{{#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}}[/INST]Understood.</s>",
        "example_separator": "",
        "chat_start": "",
        "use_stop_strings": false,
        "allow_jailbreak": false,
        "names_as_stop_strings": true,
        "always_force_name2": true,
        "trim_sentences": false,
        "single_line": false,
        "name": "Mistral V3-Tekken"
    },
    "sysprompt": {
        "name": "Reasoning-Meme",
        "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. <reasoning> Include your thought process here, structured and relevant to the prompt. Use clear and logical steps.  \n</reasoning>  <answer> Provide {{char}}'s reply here, staying true to their tone, style, and personality.</answer>  "
    },
    "preset": {
        "temp": 1.25,
        "temperature_last": true,
        "top_p": 1,
        "top_k": 0,
        "top_a": 0.04,
        "tfs": 1,
        "epsilon_cutoff": 0,
        "eta_cutoff": 0,
        "typical_p": 1,
        "min_p": 0,
        "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": 1.15,
        "dynatemp_exponent": 1,
        "smoothing_factor": 0,
        "smoothing_curve": 1,
        "dry_allowed_length": 2,
        "dry_multiplier": 0,
        "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": [
            "dry",
            "top_k",
            "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": 0,
        "ignore_eos_token_aphrodite": false,
        "spaces_between_special_tokens_aphrodite": true,
        "rep_pen_size": 0,
        "genamt": 1200,
        "max_length": 16384,
        "name": "Nitral-Baseline-Preset"
    }
}