TareksTesting/Dungeonmaster-V2-LLaMa-70B

V2 of Dungeonmaster, I decided to move away from the R1 base here, because I feel it the pros dont necessarily outweigh the cons. For V2 I decided to go for the classic nbeerbower/Llama-3.1-Nemotron-lorablated-70B as the base. Dungeonmaster is meant to be specifically for creative roleplays with stakes and consequences using the following curated models:

• LatitudeGames/Wayfarer-Large-70B-Llama-3.3 - A fine-tuned model specifically designed for this very application.
• ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.3 - Another fine-tuned trained on RP datasets.
• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 - For it's strong descriptive writing.
• SicariusSicariiStuff/Negative_LLAMA_70B - To assist with the darker undertones.
• TheDrummer/Fallen-Llama-3.3-R1-70B-v1 - The secret sauce, a completely unhinged thinking model that turns things up to 11.

merge

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 nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.

Models Merged

The following models were included in the merge:

• ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.3
• TheDrummer/Fallen-Llama-3.3-R1-70B-v1
• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
• SicariusSicariiStuff/Negative_LLAMA_70B
• LatitudeGames/Wayfarer-Large-70B-Llama-3.3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
    parameters:
      weight: 0.20
      density: 0.7
  - model: ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.3
    parameters:
      weight: 0.20
      density: 0.7
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.20
      density: 0.7
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
      density: 0.7
  - model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
    parameters:
      weight: 0.20
      density: 0.7
merge_method: della_linear
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
  epsilon: 0.2
  lambda: 1.1
dtype: bfloat16
tokenizer:
 source: nbeerbower/Llama-3.1-Nemotron-lorablated-70B