LLAMA-3 Presets
Browse files
Prompts/LLAMA-3/v1.4/[LLAMA-3-Context]Roleplay-v1.4.json
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{
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"story_string": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{{#if system}}{{system}}\n\n\n### Main Scenario ###\n- This section outlines the central plot or situation of the story.\n\n{{/if}}{{#if scenario}}Scenario: {{scenario}}\n\n### {{char}}'s Personality ###\n- Describe the personality or characteristics of {{char}}.\n\n{{/if}}{{#if personality}}{{char}}'s personality: {{personality}}\n\n### {{user}}'s Persona ###\n- Explain the persona or role the {{user}} will adopt in the story.\n\n{{/if}}{{#if persona}}{{user}}'s Persona: {{persona}}\n\n### {{char}}'s Catchphrases ###\n- Phrases that embody who {{char}} is.\n\n{{/if}}{{#if mesExamples}}{{char}}'s Catchphrases: {{mesExamples}}\n\n### Main Description ###\n- Offer a brief overview of the setting, context, or initial events of the story.\n\n{{/if}}{{#if description}}Main Description: {{description}}\n\n### Extra Information (Optional) ###\n- Additional Lore\n\n{{/if}}{{#if wiBefore}}{{wiBefore}}\n\n{{/if}}{{#if wiAfter}}{{wiAfter}}\n\n{{/if}}{{trim}}<|eot_id|>",
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"example_separator": "",
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"chat_start": "### Novel:",
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"use_stop_strings": false,
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"allow_jailbreak": false,
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"always_force_name2": true,
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"trim_sentences": false,
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"include_newline": false,
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"single_line": false,
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"name": "[LLAMA-3]Roleplay-v1.4"
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}
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Prompts/LLAMA-3/v1.4/[LLAMA-3-System]Roleplay-v1.4.json
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{
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"system_prompt": "An interactive novel depicting {{char}}'s and {{user}}'s daily life. Responses should contain the following; The characters actions, emotions, physical state, and surroundings.",
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"input_sequence": "<|start_header_id|>user<|end_header_id|>",
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"output_sequence": "<|start_header_id|>assistant<|end_header_id|>",
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"last_output_sequence": "",
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"system_sequence": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>",
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"stop_sequence": "<|eot_id|>",
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"wrap": true,
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"macro": true,
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"names": true,
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"names_force_groups": true,
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"activation_regex": "",
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"system_sequence_prefix": "",
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"system_sequence_suffix": "",
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"first_output_sequence": "",
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"skip_examples": true,
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"output_suffix": "<|eot_id|>\n",
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"input_suffix": "<|eot_id|>\n",
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"system_suffix": "<|eot_id|>\n",
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"user_alignment_message": "",
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"system_same_as_user": false,
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"last_system_sequence": "",
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"name": "[LLAMA-3]Roleplay-v1.4"
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}
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README.md
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# Samplers
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**Mistral-v0.1**
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As for samplers, **Simple_Smooth** should be good for most use cases.
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# Samplers
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**LLAMA-3**
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Only has 8k context, Mistral-v0.1 samplers should also work. Made them simple as I am still testing the model.
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**Mistral-v0.1**
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As for samplers, **Simple_Smooth** should be good for most use cases.
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Samplers/LLAMA-3/[LLAMA-3]-Simple.json
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{
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"temp": 1,
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"temperature_last": true,
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"top_p": 1,
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"top_k": 0,
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"top_a": 0,
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"tfs": 1,
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"epsilon_cutoff": 0,
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"eta_cutoff": 0,
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"typical_p": 1,
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"min_p": 0.075,
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"rep_pen": 1.05,
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"rep_pen_range": 2048,
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"no_repeat_ngram_size": 0,
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"penalty_alpha": 0,
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"num_beams": 1,
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"length_penalty": 0,
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"min_length": 0,
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"encoder_rep_pen": 1,
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"freq_pen": 0.1,
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"presence_pen": 0.1,
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"do_sample": true,
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"early_stopping": false,
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"dynatemp": false,
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"min_temp": 1,
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"max_temp": 2,
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"dynatemp_exponent": 0.9,
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"smoothing_factor": 0,
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"smoothing_curve": 1,
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"add_bos_token": true,
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"truncation_length": 2048,
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"ban_eos_token": false,
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"skip_special_tokens": true,
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"streaming": true,
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"mirostat_mode": 0,
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"mirostat_tau": 5,
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"mirostat_eta": 0.1,
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"guidance_scale": 1,
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"negative_prompt": "",
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"grammar_string": "",
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"json_schema": {},
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"banned_tokens": "",
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"sampler_priority": [
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"temperature",
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"dynamic_temperature",
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"quadratic_sampling",
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"top_k",
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"top_p",
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"typical_p",
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"epsilon_cutoff",
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"eta_cutoff",
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"tfs",
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"top_a",
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"min_p",
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"mirostat"
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],
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"samplers": [
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"top_k",
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"tfs_z",
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"typical_p",
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"top_p",
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"min_p",
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"temperature"
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],
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"ignore_eos_token_aphrodite": false,
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"spaces_between_special_tokens_aphrodite": true,
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"sampler_order": [
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],
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"logit_bias": [],
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"n": 1,
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"rep_pen_size": 0,
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"genamt": 300,
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"max_length": 8192
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}
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