Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Paper
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2311.03099
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Published
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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/Sapphire-V3-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/Emerald-SCE-V3-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.1, 0.1, 0.2, 0.5]
density: 0.5
- model: TareksLab/Carnelian-SCE-V4-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.1, 0.2, 0.4, 0.2]
density: 0.5
- model: TareksLab/Ruby-D-V3-LLaMa-70B
parameters:
weight: [0.1, 0.1, 0.2, 0.4, 0.2, 0.1]
density: 0.5
- model: TareksLab/Amethyst-SCE-V4-LLaMa-70B
parameters:
weight: [0.1, 0.2, 0.4, 0.2, 0.1, 0.1]
density: 0.5
- model: TareksLab/Citrine-MS-V3-LLaMa-70B
parameters:
weight: [0.2, 0.4, 0.2, 0.1, 0.1, 0.1]
density: 0.5
- model: TareksLab/Diamond-DL-V1-LLaMa-70B
parameters:
weight: [0.5, 0.2, 0.1, 0.1, 0.1, 0.1]
density: 0.5
merge_method: dare_ties
base_model: TareksLab/Sapphire-V3-LLaMa-70B
parameters:
lambda: 1.1
normalize: false
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
source: TareksLab/Ruby-D-V3-LLaMa-70B
pad_to_multiple_of: 8