Avg. Total Time
58.65s
Avg. TTFT
57.97s
Avg. Prefill TPS
4.33
Avg. Gen TPS
20.66
Context Size
32768
Quantization
r64
Engine
aphrodite
Creation Method
Merge
Model Type
Llama70B
Chat Template
Llama 3
Reasoning
No
Vision
No
Parameters
70B
Added At
3/18/2025
base_model:

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)

(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.
This model was merged using the Linear DELLA merge method using TareksLab/L3.3-TRP-BASE-80-70B as a base.
The following models were included in the merge:
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