LLAMA-3 Presets

Prompts/LLAMA-3/v1.4/[LLAMA-3-Context]Roleplay-v1.4.json

@@ -0,0 +1,12 @@
+{
+    "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|>",
+    "example_separator": "",
+    "chat_start": "### Novel:",
+    "use_stop_strings": false,
+    "allow_jailbreak": false,
+    "always_force_name2": true,
+    "trim_sentences": false,
+    "include_newline": false,
+    "single_line": false,
+    "name": "[LLAMA-3]Roleplay-v1.4"
+}

Prompts/LLAMA-3/v1.4/[LLAMA-3-System]Roleplay-v1.4.json

@@ -0,0 +1,24 @@
+{
+    "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.",
+    "input_sequence": "<|start_header_id|>user<|end_header_id|>",
+    "output_sequence": "<|start_header_id|>assistant<|end_header_id|>",
+    "last_output_sequence": "",
+    "system_sequence": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>",
+    "stop_sequence": "<|eot_id|>",
+    "wrap": true,
+    "macro": true,
+    "names": true,
+    "names_force_groups": true,
+    "activation_regex": "",
+    "system_sequence_prefix": "",
+    "system_sequence_suffix": "",
+    "first_output_sequence": "",
+    "skip_examples": true,
+    "output_suffix": "<|eot_id|>\n",
+    "input_suffix": "<|eot_id|>\n",
+    "system_suffix": "<|eot_id|>\n",
+    "user_alignment_message": "",
+    "system_same_as_user": false,
+    "last_system_sequence": "",
+    "name": "[LLAMA-3]Roleplay-v1.4"
+}

README.md

@@ -20,6 +20,9 @@ The reason for this, is because I explicitly set for them to be sent. The defaul
 
 # Samplers
 
+**LLAMA-3**
+Only has 8k context, Mistral-v0.1 samplers should also work. Made them simple as I am still testing the model.
+
 **Mistral-v0.1**
 As for samplers, **Simple_Smooth** should be good for most use cases.
 

Samplers/LLAMA-3/[LLAMA-3]-Simple.json

@@ -0,0 +1,81 @@
+{
+    "temp": 1,
+    "temperature_last": true,
+    "top_p": 1,
+    "top_k": 0,
+    "top_a": 0,
+    "tfs": 1,
+    "epsilon_cutoff": 0,
+    "eta_cutoff": 0,
+    "typical_p": 1,
+    "min_p": 0.075,
+    "rep_pen": 1.05,
+    "rep_pen_range": 2048,
+    "no_repeat_ngram_size": 0,
+    "penalty_alpha": 0,
+    "num_beams": 1,
+    "length_penalty": 0,
+    "min_length": 0,
+    "encoder_rep_pen": 1,
+    "freq_pen": 0.1,
+    "presence_pen": 0.1,
+    "do_sample": true,
+    "early_stopping": false,
+    "dynatemp": false,
+    "min_temp": 1,
+    "max_temp": 2,
+    "dynatemp_exponent": 0.9,
+    "smoothing_factor": 0,
+    "smoothing_curve": 1,
+    "add_bos_token": true,
+    "truncation_length": 2048,
+    "ban_eos_token": false,
+    "skip_special_tokens": true,
+    "streaming": true,
+    "mirostat_mode": 0,
+    "mirostat_tau": 5,
+    "mirostat_eta": 0.1,
+    "guidance_scale": 1,
+    "negative_prompt": "",
+    "grammar_string": "",
+    "json_schema": {},
+    "banned_tokens": "",
+    "sampler_priority": [
+        "temperature",
+        "dynamic_temperature",
+        "quadratic_sampling",
+        "top_k",
+        "top_p",
+        "typical_p",
+        "epsilon_cutoff",
+        "eta_cutoff",
+        "tfs",
+        "top_a",
+        "min_p",
+        "mirostat"
+    ],
+    "samplers": [
+        "top_k",
+        "tfs_z",
+        "typical_p",
+        "top_p",
+        "min_p",
+        "temperature"
+    ],
+    "ignore_eos_token_aphrodite": false,
+    "spaces_between_special_tokens_aphrodite": true,
+    "sampler_order": [
+        6,
+        0,
+        1,
+        3,
+        4,
+        2,
+        5
+    ],
+    "logit_bias": [],
+    "n": 1,
+    "rep_pen_size": 0,
+    "genamt": 300,
+    "max_length": 8192
+}