Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
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13
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using kromeurus/L3.1-Aglow-Vulca-v0.1-8B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
dtype: float32
out_dtype: bfloat16
merge_method: model_stock
base_model: kromeurus/L3.1-Aglow-Vulca-v0.1-8B
models:
- model: mergekit-community/L3-Boshima-a
parameters:
weight: 0.8
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
parameters:
weight: 0.8
- model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
parameters:
weight: 0.8
- model: kromeurus/L3.1-Aglow-Vulca-v0.1-8B
parameters:
weight: 0.6
- model: failspy/Llama-3-8B-Instruct-MopeyMule
parameters:
weight: 0.4
parameters:
normalize: true