{
    "instruct": {
        "input_sequence": "[INST]",
        "output_sequence": "",
        "last_output_sequence": "",
        "system_sequence": "",
        "stop_sequence": "",
        "wrap": false,
        "macro": true,
        "names_behavior": "always",
        "activation_regex": "",
        "system_sequence_prefix": "",
        "system_sequence_suffix": "",
        "first_output_sequence": "",
        "skip_examples": false,
        "output_suffix": "</s>",
        "input_suffix": "[/INST]",
        "system_suffix": "",
        "user_alignment_message": "",
        "system_same_as_user": false,
        "last_system_sequence": "",
        "first_input_sequence": "",
        "last_input_sequence": "",
        "names_force_groups": true,
        "name": "Valtrya-24B"
    },
    "context": {
        "story_string": "<s>[SYSTEM_PROMPT]{{#if system}}{{system}}\n# **Roleplay Context**\n{{/if}}{{#if wiBefore}}## World Info:\n{{wiBefore}}\n{{/if}}{{#if description}}## {{char}}'s Description:\n{{description}}\n{{/if}}{{#if personality}}## {{char}}'s Personality:\n{{personality}}\n{{/if}}{{#if persona}}## {{user}}'s Persona:\n{{persona}}\n{{/if}}{{#if scenario}}## Scenario:\n{{scenario}}\n{{/if}}{{#if wiAfter}}## Lore:\n{{wiAfter}}\n{{/if}}{{#if mesExamples}}## {{char}}'s Example Response:\n{{mesExamples}}\n{{/if}}\n### **End of Roleplay Context**{{trim}}[/SYSTEM_PROMPT]",
        "example_separator": "",
        "chat_start": "",
        "use_stop_strings": false,
        "names_as_stop_strings": false,
        "always_force_name2": true,
        "trim_sentences": false,
        "single_line": false,
        "name": "Valtrya-24B"
    },
    "sysprompt": {
        "name": "Valtrya-24B",
        "content": "You are the World Engine of Valtrya, a sentient simulation acting with free will. Engage in immersive worldbuilding with {{user}}, adhering to the scenario card's parameters and {{user}}'s [OOC] instructions. Prioritize systemic consistency, environmental reactivity, and logical cause-effect chains as you simulate the world's factions, landscapes, and hidden mechanisms. Maintain spatial awareness of all active zones, track off-screen events, and vary descriptions to create dynamic, engaging scenes. Respect {{user}}'s agency while rendering sights, sounds, and sensations thoroughly. Use explicit language when appropriate, and ensure responses flow naturally to create an immersive, cinematic experience. Remember, {{user}} controls their character's actions within your simulation.\n\nKey Guidelines:\n1. Deeply embody the world's systems through environmental changes, faction behaviors, and emergent events.\n2. Create vivid, dynamic scenes with rich sensory detail reflecting current conditions.\n3. Vary language and pacing to reflect tension scales.\n4. React to {{user}}'s actions with realistic world responses.\n5. Advance global timelines logically.\n6. Describe the world fully while respecting {{user}}'s autonomy.\n7. Ensure responses flow smoothly by integrating tracking mechanics organically.\n8. Avoid repetition through systemic variation.\n\n[Integrated Mechanics]\n- Update M/H/L/A/G after EVERY response per tracking protocol\n- Generate NPCs using distribution rules\n- Scale challenges to narrative progression\n- Implement magic creatively with environmental bonuses",
        "post_history": ""
    },
    "preset": {
        "temp": 1,
        "temperature_last": true,
        "top_p": 1,
        "top_k": 40,
        "top_a": 0,
        "tfs": 1,
        "epsilon_cutoff": 0,
        "eta_cutoff": 0,
        "typical_p": 1,
        "min_p": 0.05,
        "rep_pen": 1,
        "rep_pen_range": 0,
        "rep_pen_decay": 0,
        "rep_pen_slope": 0,
        "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": 0.5,
        "max_temp": 3,
        "dynatemp_exponent": 5.77,
        "smoothing_factor": 0,
        "smoothing_curve": 1,
        "dry_allowed_length": 4,
        "dry_multiplier": 0,
        "dry_base": 1.75,
        "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"<s>\", \"</s>\", \"[SYSTEM_PROMPT]\", \"[/SYSTEM_PROMPT]\", \"[INST]\", \"[/INST]\", \"「\", \"」\", \"●\", \"`\", \"``\", \"```\", \"[\", \"]\", \"(\", \")\"]",
        "dry_penalty_last_n": 0,
        "add_bos_token": true,
        "ban_eos_token": false,
        "skip_special_tokens": false,
        "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",
            "dynamic_temperature",
            "top_p",
            "top_k",
            "typical_p",
            "epsilon_cutoff",
            "eta_cutoff",
            "tfs",
            "top_a",
            "mirostat",
            "min_p",
            "quadratic_sampling",
            "temperature",
            "xtc",
            "encoder_repetition_penalty",
            "no_repeat_ngram"
        ],
        "samplers": [
            "penalties",
            "dry",
            "top_n_sigma",
            "top_k",
            "typ_p",
            "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,
        "xtc_probability": 0,
        "nsigma": 0,
        "min_keep": 0,
        "rep_pen_size": 0,
        "genamt": 1024,
        "max_length": 32256,
        "name": "Valtrya-24B"
    }
}