merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 5]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [5, 15]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [10, 20]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [15, 25]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [20, 30]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [25, 35]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
- sources:
- layer_range: [30, 40]
model: cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b
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Model tree for win10/dolphin-2.9.3-mistral-nemo-20b
Base model
mistralai/Mistral-Nemo-Base-2407