Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
•
13
This is a merge of pre-trained language models created using mergekit.
This model was merged using the Model Stock merge method using Cran-May/SCE-2-24B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Cran-May/SCE-2-24B
- model: mergekit-community/mergekit-model_stock-olgorhm
parameters:
density: 0.9
weight: 0.5
- model: mergekit-community/mergekit-model_stock-nrrhivg
parameters:
density: 0.9
weight: 0.5
- model: yentinglin/Mistral-Small-24B-Instruct-2501-S1-SFT
parameters:
density: 0.8
weight: 0.3
merge_method: model_stock
base_model: Cran-May/SCE-2-24B
parameters:
int8_mask: true
normalize: true
dtype: float16