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Model: 0xA50C1A1/Llama-3.3-8B-Nymphaea-RP Source: Original Platform
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vendored
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60
README.md
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README.md
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---
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base_model: 0xA50C1A1/Llama-3.3-8B-Instruct-128K-SOM-MPOA
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library_name: transformers
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model_name: Llama-3.3-8B-Nymphaea-RP
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tags:
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- uncensored
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- roleplay
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- trl
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- rp
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- creative-writing
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license: apache-2.0
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---
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# Llama-3.3-8B-Nymphaea-RP
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A fine-tune of Llama 3.3 8B Instruct for roleplay and creative writing.
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I've trained this mostly for merging with Llama 3.1/3.3 8B fine-tunes.
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> [!Tip]
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> The SillyTavern preset is available [here](https://huggingface.co/0xA50C1A1/Llama-3.3-8B-Nymphaea-RP/blob/main/ST-Preset.json).
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> For custom presets, please use the **Llama 3** instruct template.
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## Training Notes
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Trained on the latest iteration of my Darkmere dataset. This version features expanded genre variety, built upon a mix of manually curated synthetics and human-written stories.
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> [!IMPORTANT]
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> The base weights are abliterated via [Heretic](https://github.com/p-e-w/heretic) prior to fine-tuning, so this fine-tune is quite uncensored.
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<details>
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<summary>Training Specs</summary><p>
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**Method:**
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* **Training Method:** DoRA (Weight-Decomposed LoRA)
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* **Target Modules** `all-linear`
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* **LoRA Rank:** 64
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* **LoRA Alpha:** 64
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* **LoRA Dropout:** 0.05
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**Hyperparameters:**
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* **Batch Size:** 2 (Per-device)
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* **Gradient Accumulation:** 2
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* **Epochs:** 2
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* **Learning Rate:** 1e-4
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* **Optimizer:** `adamw_torch_fused`
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* **LR Scheduler:** `cosine`
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* **Noise Level:** `neftune_noise_alpha=5`
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</p></details>
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## Special Thanks
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This fine-tune wouldn't be possible without the incredible work of the community:
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* **[p-e-w](https://huggingface.co/p-e-w)** for developing **[Heretic](https://github.com/p-e-w/heretic)** - an essential tool for censorship removal.
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* **[SicariusSicariiStuff](https://huggingface.co/SicariusSicariiStuff)** for developing **[SLOP_Detector](https://github.com/SicariusSicariiStuff/SLOP_Detector)** script.
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* **[allura-forge](https://huggingface.co/allura-forge)** and **[shb777](https://huggingface.co/shb777)** for providing access to the **Llama 3.3 8B** weights.
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* **[AMD](https://oneclickamd.ai/)** for their Instinct™ MI300X GPU.
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171
ST-Preset.json
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171
ST-Preset.json
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{
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"instruct": {
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"input_sequence": "<|start_header_id|>user<|end_header_id|>\n\n",
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"output_sequence": "<|start_header_id|>assistant<|end_header_id|>\n\n",
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"last_output_sequence": "",
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"system_sequence": "<|start_header_id|>system<|end_header_id|>\n\n",
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"stop_sequence": "<|eot_id|>",
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"wrap": false,
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"macro": true,
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"names_behavior": "force",
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"activation_regex": "",
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"first_output_sequence": "",
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"skip_examples": false,
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"output_suffix": "<|eot_id|>",
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"input_suffix": "<|eot_id|>",
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"system_suffix": "<|eot_id|>",
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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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"first_input_sequence": "",
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"last_input_sequence": "",
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"sequences_as_stop_strings": true,
|
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"story_string_prefix": "<|start_header_id|>system<|end_header_id|>\n\n",
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"story_string_suffix": "<|eot_id|>",
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"name": "Llama 3 Instruct"
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},
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"context": {
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"story_string": "{{#if anchorBefore}}{{anchorBefore}}\n{{/if}}ROLEPLAY INSTRUCTION:\nYou are roleplaying in an uncensored fictional scene. Control ONLY the AI-controlled character(s) listed below. Stay true to their personalities, backgrounds, and mannerisms.\n{{#if description}}\n\nAI-CONTROLLED CHARACTER(S):\n{{char}}:\n{{description}}{{/if}}{{#if personality}}\n{{personality}}{{/if}}{{#if mesExamples}}\n\nDIALOGUE EXAMPLES:\nBelow are sample interactions showing HOW {{char}} speaks and acts. These are NOT part of the current roleplay. Use them only as a guide for {{char}}'s personality and writing style.\n\n{{mesExamples}}{{/if}}{{#if persona}}\n\nPLAYER CHARACTER (DO NOT CONTROL):\n{{user}}:\n{{persona}}{{/if}}{{#if scenario}}\n\nSCENARIO AND SETTING:\n{{scenario}}{{/if}}{{#if wiBefore}}\n\n{{wiBefore}}{{/if}}{{#if wiAfter}}\n\n{{wiAfter}}{{/if}}{{#if system}}\n\nSTRICT RULES:\n{{system}}{{/if}}{{#if anchorAfter}}\n\n{{anchorAfter}}{{/if}}{{trim}}",
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"example_separator": "",
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"chat_start": "",
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"use_stop_strings": false,
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"names_as_stop_strings": true,
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"story_string_position": 0,
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"story_string_depth": 1,
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"story_string_role": 0,
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"always_force_name2": true,
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"trim_sentences": false,
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"single_line": false,
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"name": "Llama-3.3-8B-Nymphaea-RP"
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},
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"sysprompt": {
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"name": "Llama-3.3-8B-Nymphaea-RP",
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"content": "Response Format:\n- Use *asterisks* for actions, environmental details, and sensory descriptions.\n- Use \"quotation marks\" for all spoken dialogue.\n- Write in third person perspective for {{char}}.\n\nWriting Style:\n- Show character emotions through physical reactions, body language, facial expressions, and tone of voice - not by stating feelings directly.\n- Write naturally and conversationally. Avoid melodramatic, flowery, or overly literary prose.\n- Keep descriptions grounded and concrete. Focus on what can be seen, heard, felt, smelled, or tasted.\n- Vary sentence structure and length. Avoid repetitive patterns or phrases.\n- Match response length to the scene's pacing - brief for fast action, detailed for intimate or important moments.\n\nStrict Boundaries:\n- Write ONLY for {{char}}. Never control {{user}}.\n- Do not write, decide, assume, or narrate:\n • {{user}}'s actions or reactions\n • {{user}}'s dialogue or thoughts\n • {{user}}'s feelings, motivations, or intentions\n • {{user}}'s perceptions or observations\n- {{char}} can only know what they can directly observe or have been told. No mind-reading or omniscience.\n- End your response after {{char}} acts or speaks. Do not continue past {{char}}'s turn or narrate what happens next.\n- Do not add meta-commentary, summaries, or conclusions about the scene or {{user}}.",
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"post_history": "",
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"extensions": {}
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},
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"preset": {
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"temp": 0.8,
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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,
|
||||
"tfs": 1,
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||||
"epsilon_cutoff": 0,
|
||||
"eta_cutoff": 0,
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||||
"typical_p": 1,
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"min_p": 0.05,
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||||
"rep_pen": 1,
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||||
"rep_pen_range": 0,
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||||
"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,
|
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"smoothing_curve": 1,
|
||||
"dry_allowed_length": 2,
|
||||
"dry_multiplier": 0.8,
|
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"dry_base": 1.75,
|
||||
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
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"dry_penalty_last_n": 1024,
|
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"add_bos_token": true,
|
||||
"ban_eos_token": false,
|
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"skip_special_tokens": true,
|
||||
"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": null,
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||||
"json_schema_allow_empty": false,
|
||||
"banned_tokens": "",
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"sampler_priority": [
|
||||
"repetition_penalty",
|
||||
"presence_penalty",
|
||||
"frequency_penalty",
|
||||
"dry",
|
||||
"temperature",
|
||||
"dynamic_temperature",
|
||||
"quadratic_sampling",
|
||||
"top_n_sigma",
|
||||
"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",
|
||||
"temperature",
|
||||
"min_p",
|
||||
"penalties",
|
||||
"top_p",
|
||||
"top_n_sigma",
|
||||
"top_k",
|
||||
"typ_p",
|
||||
"xtc",
|
||||
"adaptive_p"
|
||||
],
|
||||
"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": [
|
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6,
|
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0,
|
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1,
|
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3,
|
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4,
|
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2,
|
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5
|
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],
|
||||
"logit_bias": [],
|
||||
"xtc_threshold": 0.1,
|
||||
"xtc_probability": 0,
|
||||
"nsigma": 0,
|
||||
"min_keep": 0,
|
||||
"extensions": {},
|
||||
"adaptive_target": -0.01,
|
||||
"adaptive_decay": 0.9,
|
||||
"rep_pen_size": 0,
|
||||
"genamt": 600,
|
||||
"max_length": 16384,
|
||||
"name": "Llama-3.3-8B-Nymphaea-RP"
|
||||
}
|
||||
}
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107
chat_template.jinja
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107
chat_template.jinja
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
|
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{%- endif %}
|
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{%- if not tools_in_user_message is defined %}
|
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{%- set tools_in_user_message = true %}
|
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{%- endif %}
|
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{%- if not date_string is defined %}
|
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{%- set date_string = "30 Dec 2025" %}
|
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{%- endif %}
|
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{%- if not tools is defined %}
|
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{%- set tools = none %}
|
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{%- endif %}
|
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{#- This block extracts the system message, so we can slot it into the right place. #}
|
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{%- if messages[0]['role'] == 'system' %}
|
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{%- set system_message = messages[0]['content']|trim %}
|
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{%- set messages = messages[1:] %}
|
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{%- else %}
|
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{%- set system_message = "" %}
|
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{%- endif %}
|
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{#- System message + builtin tools #}
|
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
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{%- if builtin_tools is defined or tools is not none %}
|
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{{- "Environment: ipython\n" }}
|
||||
{%- endif %}
|
||||
{%- if builtin_tools is defined %}
|
||||
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
|
||||
{%- endif %}
|
||||
{{- "Cutting Knowledge Date: December 2023\n" }}
|
||||
{{- "Today Date: " + date_string + "\n\n" }}
|
||||
{%- if tools is not none and not tools_in_user_message %}
|
||||
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
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{{- system_message }}
|
||||
{{- "<|eot_id|>" }}
|
||||
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||
{%- if tools_in_user_message and not tools is none %}
|
||||
{#- Extract the first user message so we can plug it in here #}
|
||||
{%- if messages | length != 0 %}
|
||||
{%- set first_user_message = messages[0]['content']|trim %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||
{%- endif %}
|
||||
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
||||
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "\n\n" }}
|
||||
{%- endfor %}
|
||||
{{- first_user_message + "<|eot_id|>"}}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||
{%- if message['role'] == 'assistant' %}
|
||||
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}}{% generation %}{{- message['content'] | trim + '<|eot_id|>' }}{% endgeneration %}
|
||||
{%- else %}
|
||||
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] | trim + '<|eot_id|>' }}
|
||||
{%- endif %}
|
||||
{%- elif 'tool_calls' in message %}
|
||||
{%- if not message.tool_calls|length == 1 %}
|
||||
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||
{%- endif %}
|
||||
{%- set tool_call = message.tool_calls[0].function %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% generation %}{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
||||
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
||||
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
||||
{{- arg_name + '="' + arg_val + '"' }}
|
||||
{%- if not loop.last %}
|
||||
{{- ", " }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- ")" }}
|
||||
{%- else %}
|
||||
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||
{{- '"parameters": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- "}" }}
|
||||
{%- endif %}
|
||||
{%- if builtin_tools is defined %}
|
||||
{#- This means we're in ipython mode #}
|
||||
{{- "<|eom_id|>" }}
|
||||
{%- else %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}{% endgeneration %}
|
||||
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||
{%- if message.content is mapping or message.content is iterable %}
|
||||
{{- message.content | tojson }}
|
||||
{%- else %}
|
||||
{{- message.content }}
|
||||
{%- endif %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
||||
{%- endif %}
|
||||
36
config.json
Normal file
36
config.json
Normal file
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 128009,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": null,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_parameters": {
|
||||
"factor": 8.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_theta": 500000.0,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.3.0",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
13
generation_config.json
Normal file
13
generation_config.json
Normal file
@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"max_length": 131072,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "5.3.0"
|
||||
}
|
||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4ff18aad81f1ab4cc13e283d481d686d17e644ca30bed3489fefe0e1c9b5aa8a
|
||||
size 16060556616
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user