{ "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": "always", "names_force_groups": true, "name": "[ChatML]Roleplay-v1.9" }, "context": { "story_string": "<|im_start|>system\n\n{{#if system}}{{system}}\n\n\n\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\n{{mesExamples}}\n\n\n{{/if}}{{#if description}}### Main Information\n{{description}}\n\n{{/if}}{{#if wiAfter}}### Extra Information\n{{wiAfter}}\n\n{{/if}}<|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\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" }, "preset": { "temp": 0.8, "temperature_last": true, "top_p": 1, "top_k": 0, "top_a": 0.3, "tfs": 1, "epsilon_cutoff": 0, "eta_cutoff": 0, "typical_p": 1, "min_p": 0.05, "rep_pen": 1.03, "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": 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" ], "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, "ignore_eos_token_aphrodite": false, "spaces_between_special_tokens_aphrodite": true, "rep_pen_size": 0, "genamt": 1024, "max_length": 16384, "name": "Eva Stable" } }