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V2.2 of Dungeonmaster (Very good at following prompts and quite unhinged), I decided to move away from the R1 base here, because I feel it the pros dont necessarily outweigh the cons. For the V2.X series I decided to go for a custom uncensored base.

Shoutout to Thana Alt from the Beaver AI discord who thoroughly tested this model and was able to get some interesting results (spoiler below)

โš ๏ธ Warning: Gratuitous violence

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(Thana's Silly Tavern advanced formatting settings are in the models files)

The sweet spot for the important sampler settings seems to be around:

Temp: 0.8
Min P: 0.02

Dungeonmaster is meant to be specifically for creative roleplays with stakes and consequences using the following curated models:

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Linear DELLA merge method using TareksLab/L3.3-TRP-BASE-80-70B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
    parameters:
      weight: 0.12
      density: 0.7
  - model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
    parameters:
      weight: 0.12
      density: 0.7
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.12
      density: 0.7
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: 0.12
      density: 0.7
  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
    parameters:
      weight: 0.13
      density: 0.7
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.13
      density: 0.7
  - model: Sao10K/70B-L3.3-mhnnn-x1
    parameters:
      weight: 0.13
      density: 0.7
  - model: TareksLab/L3.3-TRP-BASE-80-70B
    parameters:
      weight: 0.13
      density: 0.7
merge_method: della_linear
base_model: TareksLab/L3.3-TRP-BASE-80-70B
parameters:
  epsilon: 0.2
  lambda: 1.1
  normalize: false
  int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
 source: base

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