My preset for DeepSeek

{
    "temp": 0.9,
    "temperature_last": true,
    "top_p": 0.95,
    "top_k": 25,
    "top_a": 0.8,
    "tfs": 1,
    "epsilon_cutoff": 0,
    "eta_cutoff": 0,
    "typical_p": 1,
    "min_p": 0.1,
    "rep_pen": 1.15,
    "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,
    "max_temp": 2,
    "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": true,
    "speculative_ngram": false,
    "sampler_order": [
        6,
        0,
        1,
        3,
        4,
        2,
        5
    ],
    "logit_bias": [
        {
            "id": "1119335f-68c1-49e5-b2af-161a9c826074",
            "text": "Breast",
            "value": -100
        },
        {
            "id": "e44cb995-d52d-4ea7-82b7-ce351b806813",
            "text": "Breasts",
            "value": -100
        },
        {
            "id": "d5b78c2e-4943-4087-9046-f4572743c3f6",
            "text": "Cunt",
            "value": -100
        }
    ],
    "xtc_threshold": 0.1,
    "xtc_probability": 0,
    "nsigma": 0,
    "rep_pen_size": 0,
    "genamt": 1024,
    "max_length": 163840
}