Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
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2311.03099
•
Published
•
30
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using TareksLab/Erudite-V1-Unleashed-LLaMA-70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: TareksLab/Wordsmith-V2.0-LLaMa-70B
parameters:
weight: 0.20
density: 0.5
- model: TareksLab/Anathema-V2-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
- model: TareksLab/Scrivener-Base-V4-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
- model: TareksLab/RolePlayer-V4-LLaMa-70B
parameters:
weight: 0.20
density: 0.5
- model: TareksLab/Erudite-V1-Unleashed-LLaMA-70B
parameters:
weight: 0.20
density: 0.5
merge_method: dare_ties
base_model: TareksLab/Erudite-V1-Unleashed-LLaMA-70B
parameters:
normalize: false
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: TareksLab/Scrivener-Base-V4-LLaMA-70B
Base model
TareksTesting/UNNAMED-MODEL-B