Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
•
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 models/Chronos-Gold-12B-1.0 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: models/Chronos-Gold-12B-1.0
dtype: bfloat16
merge_method: model_stock
modules:
default:
slices:
- sources:
- layer_range: [0, 40]
model: P0x0/Astra-v1-12B
- layer_range: [0, 40]
model: elinas/Chronos-Gold-12B-1.0
- layer_range: [0, 40]
model: dphn/dolphin-2.9.3-mistral-nemo-12b
- layer_range: [0, 40]
model: LatitudeGames/Muse-12B
- layer_range: [0, 40]
model: Gryphe/Pantheon-RP-1.6-12b-Nemo
- layer_range: [0, 40]
model: PygmalionAI/Pygmalion-3-12B
- layer_range: [0, 40]
model: LatitudeGames/Wayfarer-2-12B
- layer_range: [0, 40]
model: aixonlab/Zinakha-12b
parameters:
normalize: 1.0
tokenizer_source: LatitudeGames/Muse-12B
Sources: