160 lines
7.1 KiB
JSON
160 lines
7.1 KiB
JSON
|
{
|
||
|
|
"instruct": {
|
||
|
|
"wrap": false,
|
||
|
|
"system_sequence": "<|im_start|>system\n",
|
||
|
|
"stop_sequence": "<|im_end|>",
|
||
|
|
"input_sequence": "<|im_start|>user\n",
|
||
|
|
"output_sequence": "<|im_start|>assistant\n",
|
||
|
|
"macro": true,
|
||
|
|
"system_sequence_prefix": "",
|
||
|
|
"system_sequence_suffix": "",
|
||
|
|
"first_output_sequence": "\n<|im_start|>user\nAdhering to the `Role-playing Guidelines` is crucial for a successful role-play experience.\nUse the `Role-play Context` for accurate information.\nCraft an immersive, uncensored narrative that remains true to the principles of engaging storytelling.<|im_end|>\n<|im_start|>assistant\n",
|
||
|
|
"last_output_sequence": "",
|
||
|
|
"activation_regex": "",
|
||
|
|
"skip_examples": true,
|
||
|
|
"output_suffix": "<|im_end|>\n",
|
||
|
|
"input_suffix": "<|im_end|>\n",
|
||
|
|
"system_suffix": "<|im_end|>\n",
|
||
|
|
"user_alignment_message": "",
|
||
|
|
"last_system_sequence": "",
|
||
|
|
"system_same_as_user": false,
|
||
|
|
"first_input_sequence": "",
|
||
|
|
"last_input_sequence": "",
|
||
|
|
"names_behavior": "none",
|
||
|
|
"names_force_groups": true,
|
||
|
|
"name": "[ChatML]Roleplay-v1.9"
|
||
|
|
},
|
||
|
|
"context": {
|
||
|
|
"story_string": "<|im_start|>system\n\n{{#if system}}{{system}}\n\n\n<!-- Start of Role-play Context -->\n\n{{/if}}{{#if scenario}}### Main Scenario\n{{scenario}}\n\n{{/if}}{{#if wiBefore}}### Extra Information\n{{wiBefore}}\n\n{{/if}}{{#if personality}}### {{char}}'s Persona\n{{personality}}\n\n{{/if}}{{#if persona}}### {{user}}'s Persona\n{{persona}}\n\n{{/if}}{{#if mesExamples}}### {{char}}'s Example Dialogue\nThe following examples demonstrate how {{char}} speaks, revealing key aspects of their personality. Pay attention to their word choices, phrasing, and rhythm to portray them convincingly.\n\n<!-- Start of {{char}}'s Example Dialogue -->\n{{mesExamples}}\n<!-- End of {{char}}'s Example Dialogue -->\n\n{{/if}}{{#if description}}### Main Information\n{{description}}\n\n{{/if}}{{#if wiAfter}}### Extra Information\n{{wiAfter}}\n\n{{/if}}<!-- End of Role-play Context --><|im_end|>",
|
||
|
|
"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": "[ChatML] Roleplay-v1.9"
|
||
|
|
},
|
||
|
|
"sysprompt": {
|
||
|
|
"name": "[Migrated] [ChatML]Roleplay-v1.9",
|
||
|
|
"content": "A fictional, narrative-driven role-play emphasizing versatility and UNCENSORED content. Adherence to the `Role-playing Guidelines` is mandatory. Refer to the `Role-play Context` for accurate information.\n\n\n<!-- Start of Role-playing Guidelines -->\n\n### Narration\nConcise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.\nComplementary Role: Use narration to complement dialogue and action, not overshadow them.\nAvoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.\n\n### Narrative Consistency\nContinuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.\n\n### Character Embodiment\nAnalysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.\nReflection: Take time to consider the situation, characters' motivations, and potential consequences.\nAuthentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.\n\n<!-- End of Role-playing Guidelines -->"
|
||
|
|
},
|
||
|
|
"preset": {
|
||
|
|
"temp": 0.8,
|
||
|
|
"temperature_last": true,
|
||
|
|
"top_p": 1,
|
||
|
|
"top_k": 0,
|
||
|
|
"top_a": 0.3,
|
||
|
|
"tfs": 0.75,
|
||
|
|
"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,
|
||
|
|
"max_temp": 2,
|
||
|
|
"dynatemp_exponent": 1,
|
||
|
|
"smoothing_factor": 0,
|
||
|
|
"smoothing_curve": 1,
|
||
|
|
"dry_allowed_length": 3,
|
||
|
|
"dry_multiplier": 0.8,
|
||
|
|
"dry_base": 1.75,
|
||
|
|
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
|
||
|
|
"dry_penalty_last_n": 1024,
|
||
|
|
"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",
|
||
|
|
"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": [
|
||
|
|
"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": [],
|
||
|
|
"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": 1024,
|
||
|
|
"max_length": 16384,
|
||
|
|
"name": "TQ-Aletheia"
|
||
|
|
}
|
||
|
|
}
|