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 mistralai/Mistral-Small-24B-Instruct-2501 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: mistralai/Mistral-Small-24B-Instruct-2501
- model: AlSamCur123/Mistral-Small3-24B-InstructContinuedFine
parameters:
density: 0.9
weight: 0.5
- model: trashpanda-org/MS-24B-Instruct-Mullein-v0
parameters:
density: 0.9
weight: 0.5
- model: cognitivecomputations/Dolphin3.0-Mistral-24B
parameters:
density: 0.8
weight: 0.3
merge_method: model_stock
base_model: mistralai/Mistral-Small-24B-Instruct-2501
parameters:
int8_mask: true
normalize: true
dtype: float16
random_seed: -1