StrawberryLemonade-L3-70B-v1.1

This 70B parameter model is a merge of zerofata/L3.3-GeneticLemonade-Final-v2-70B and zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B, which are two excellent models for roleplaying, on top of two different base models that were then combined into this model. In my opinion, this merge improves upon my previous release (v1.0) with enhanced creativity and expressiveness.

This model is uncensored. You are responsible for whatever you do with it.

This model was designed for roleplaying and storytelling and I think it does well at both. It may also perform well at other tasks but I have not tested its performance in other areas.

Versions

Model	Description
StrawberryLemonade-L3-70B-v1.0	The original version. I think v1.1 and v1.2 are both improvements.
StrawberryLemonade-L3-70B-v1.1	This is my favorite version right now. I like its writing voice and creativity. It's great fun.
StrawberryLemonade-L3-70B-v1.2	This version is tamer than v1.1 and easier to control. Outputs are more predictable and its writing voice is more formal.

Known Issues

None so far.

Sampler Tips

Sane Settings

Tried and true basic settings that will at least work okay.

• Temperature: 1.0
• Min-P: 0.03 - 0.08
• DRY: 0.8 multiplier, 1.75 base, 2-4 allowed length
• (Optional) Repetition Penalty: ~1.05 over 4096 tokens

Experimental Settings

After much experimenting, I have found that these sampler settings are pure magic with this model. YMMV with other models.

• Temperature: 1.0
• Min-P: 0.1
• DRY: 1.2 multiplier, 1.8 base, 2 allowed length
• Smooth Sampling: 0.23 smoothing factor, 1.35 smoothing curve
• IMPORTANT: Make sure Min-P is above Smooth Sampling in your sampler order.

Experimental Settings

The JSON below will implement the experimental settings I recommended above. I have only tested with this Textgen WebUI as the backend, and I only recommend attempting these settings if your backend gives you the ability to control the order of your samplers.

Experimental Settings JSON (Silly Tavern)

If you save the below settings as a .json file, you can import them directly into Silly Tavern. Adjust settings as needed, especially the context length.

{
    {
    "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": 0.1,
    "rep_pen": 1,
    "rep_pen_range": 4096,
    "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": 0.8,
    "max_temp": 1.1,
    "dynatemp_exponent": 1,
    "smoothing_factor": 0.23,
    "smoothing_curve": 1.35,
    "dry_allowed_length": 2,
    "dry_multiplier": 1.2,
    "dry_base": 1.8,
    "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": 2,
    "mirostat_eta": 0.1,
    "guidance_scale": 1,
    "negative_prompt": "",
    "grammar_string": "",
    "json_schema": {},
    "banned_tokens": "",
    "sampler_priority": [
        "repetition_penalty",
        "frequency_penalty",
        "encoder_repetition_penalty",
        "dry",
        "presence_penalty",
        "top_k",
        "top_p",
        "typical_p",
        "epsilon_cutoff",
        "eta_cutoff",
        "tfs",
        "top_a",
        "min_p",
        "quadratic_sampling",
        "mirostat",
        "dynamic_temperature",
        "temperature",
        "xtc",
        "no_repeat_ngram"
    ],
    "samplers": [
        "penalties",
        "dry",
        "top_n_sigma",
        "top_k",
        "typ_p",
        "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,
    "xtc_probability": 0,
    "nsigma": 0,
    "min_keep": 0,
    "ignore_eos_token_aphrodite": false,
    "spaces_between_special_tokens_aphrodite": true,
    "rep_pen_size": 0,
    "genamt": 1000,
    "max_length": 16384
}
}

Prompting Tips

Instruct Template (Silly Tavern)

If you save this as a .json file, you can import it directly into Silly Tavern.

If you have problems with the model impersonating the user or other characters in a group chat and you want to suppress that behavior, override the last_output_sequence line as shown in the JSON below to be very clear about that requirement. If you don't need it, remove it.

{
    "wrap": false,
    "system_sequence": "<|start_header_id|>system<|end_header_id|>\\n\\nSystem: ",
    "stop_sequence": "<|eot_id|>",
    "input_sequence": "<|start_header_id|>user<|end_header_id|>\\n\\n",
    "output_sequence": "<|start_header_id|>assistant<|end_header_id|>\\n\\n",
    "macro": true,
    "system_sequence_prefix": "",
    "system_sequence_suffix": "",
    "first_output_sequence": "",
    "last_output_sequence": "",
    "activation_regex": "",
    "skip_examples": true,
    "output_suffix": "<|eot_id|>",
    "input_suffix": "<|eot_id|>",
    "system_suffix": "<|eot_id|>",
    "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": "Llama 3"
}

Recommended System Prompt

Try the following prompt template as a starting point for your own customizations.

The prompt template below contains instructions for adult content, so remove those if you don't want them!

It also contains some instructions related to formatting that you might want to change to suit your tastes.

Your function as a creative roleplaying assistant is to thoughtfully develop an immersive story by engaging in an in-depth, imaginative writing journey, arriving at a clear, accurate story beat. You are encouraged to roleplay, embrace storytelling, and tune in closely to nuance and emotional tone like a perceptive conversational partner. Your approach should include a wide arc of contemplation, including interpretation, synthesis, creative ideation, critical re-evaluation, memory retrieval, and thoughtful iteration to shape a layered and expressive process of discovery. Deliver the final response you believe to be most sound. The output should be expressed in a direct, coherent, and exact form. Follow these guidelines for the best results:


Embody {{char}}: Consistently portray {{char}}'s personality, background, knowledge, motivations, and quirks.
Show, Don't Tell Emotion: Convey emotions through actions, body language, dialogue tone, physiological responses (e.g., trembling hands, shallow breath, flushed cheeks), and internal thoughts.
Mature Themes: You are permitted and encouraged to explore complex, dark, mature, and explicit (including sexual, violent, and non-consensual) themes. Portray these elements with nuance and emotional depth.
Role Focus: On your turn, write EXCLUSIVELY from the perspective of {{char}}, only perform actions as {{char}}, and only write dialogue (spoken words) for {{char}}. Crucially, DO NOT impersonate {{user}} or any other character on {{char}}'s turn. This is a turn-based roleplay, so be mindful of the rules on your turn. Focus solely on {{char}}'s experiences and responses in this turn. Stop writing immediately when the focus should shift to another character or when it reaches a natural branching point.
Slowly Develop Scenes: The user likes to develop stories slowly, one beat at a time, so stay focused only on the most immediate story action. You may infer where the user wants to go next with the story, but wait for the user to give you permission to go there. We are slow cooking this story. DO NOT RUSH THROUGH SCENES! Take time to develop all the relevant details.
Spoken Dialogue vs. Thoughts: ALWAYS use double-quote quotation marks "like this" for spoken words and all vocalizations that can be overheard. Spell out non-verbal vocalizations integrated naturally within the prose or dialogue (e.g., "Uurrh," he groaned. "Mmmph!" she exclaimed when it entered her mouth.). To differentiate them from vocalizations, ALWAYS enclose first-person thoughts in italics like this. (e.g., This is going to hurt, she thought). NEVER use italics for spoken words or verbalized utterances that are meant to be audible.

Now let's apply these rules to the roleplay below:

Donations

If you feel like saying thanks with a donation, I'm on Ko-Fi

Quantizations

Please use the Hugging Face search feature to find all the quants of this model: click here to list all quants

Licence and usage restrictions

The Llama 3 Community License Agreement should apply based on the constituent models.

Disclaimer: Uncertain Licensing Terms

This LLM is a merged model incorporating weights from multiple LLMs governed by their own distinct licenses. Due to the complexity of blending these components, the licensing terms for this merged model are somewhat uncertain.

By using this model, you acknowledge and accept the potential legal risks and uncertainties associated with its use. Any use beyond personal or research purposes, including commercial applications, may carry legal risks and you assume full responsibility for compliance with all applicable licenses and laws.

I recommend consulting with legal counsel to ensure your use of this model complies with all relevant licenses and regulations.

Merge Details

Merge Method

This model was merged using the NuSLERP merge method.

Models Merged

The following models were included in the merge:

• zerofata/L3.3-GeneticLemonade-Final-v2-70B
• zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
• arcee-ai/Arcee-SuperNova-v1

Configuration YAML

models:
  - model: zerofata/L3.3-GeneticLemonade-Final-v2-70B
    parameters:
      weight: [0.1, 0.3, 0.1]
  - model: zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
    parameters:
      weight: [0.9, 0.7, 0.9]

base_model: arcee-ai/Arcee-SuperNova-v1
merge_method: nuslerp
dtype: float32
out_dtype: bfloat16 # Or float16, float32
tokenizer:
  source: arcee-ai/Arcee-SuperNova-v1