DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Paper
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2406.11617
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Published
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8
Dungeonmaster is meant to be specifically for creative roleplays with stakes and consequences using the following curated models:
Dungeonmaster expanded features 2 extra models, bringing the total up to 7! Admittedly I was concerned about that many models in one single merge. But you never know, so I decided to try both and see...
My ideal vision for Dungeonmaster were these 7 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/Genesis-R1-L3.3-70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
- model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
- model: Sao10K/70B-L3.3-mhnnn-x1
- model: TheDrummer/Anubis-70B-v1
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- model: SicariusSicariiStuff/Negative_LLAMA_70B
- model: TheDrummer/Fallen-Llama-3.3-R1-70B-v1
merge_method: della_linear
chat_template: llama3
base_model: TareksLab/Genesis-R1-L3.3-70B
parameters:
weight: 0.14
density: 0.7
epsilon: 0.2
lambda: 1.1
normalize: true
dtype: bfloat16
tokenizer:
source: TareksLab/Genesis-R1-L3.3-70B