mergeduucsxwdd
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297 as a base.
Models Merged
The following models were included in the merge:
- /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
- /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
Configuration
The following YAML configuration was used to produce this model:
base_model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 8]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 0.9161252112124398
weight: 0.42684262949748975
- layer_range: [0, 8]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 1.0
weight: -0.07053838122379857
- layer_range: [0, 8]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 1.0
weight: 0.4849672857861172
- sources:
- layer_range: [8, 16]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 0.9761877279283722
weight: 0.3012299838842449
- layer_range: [8, 16]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 0.7543807288499863
weight: 0.1659536938628454
- layer_range: [8, 16]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 0.9492212435976857
weight: 0.18099531810782998
- sources:
- layer_range: [16, 24]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 1.0
weight: 0.41688362670746804
- layer_range: [16, 24]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 1.0
weight: 0.6151231122002006
- layer_range: [16, 24]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 0.8807907336263985
weight: 0.16825198717141238
- sources:
- layer_range: [24, 32]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 0.9156909340084007
weight: 0.5326292576896499
- layer_range: [24, 32]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 1.0
weight: 0.30104879006559454
- layer_range: [24, 32]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 0.7478687683572947
weight: 0.24780060115002012
- sources:
- layer_range: [32, 40]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 0.7970703509952921
weight: 0.36719110728431165
- layer_range: [32, 40]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 0.9371578433786855
weight: 0.3915882680301583
- layer_range: [32, 40]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 0.625508665655407
weight: 0.5087374040978708
- sources:
- layer_range: [40, 48]
model: /workspace/mergekit/evol_storage/input_models/SeQwence-14Bv1_904318297
parameters:
density: 0.844183840774721
weight: 0.5421089451732982
- layer_range: [40, 48]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-MegaMerge-pt2_1305659297
parameters:
density: 0.961154402903748
weight: 0.30023482616059033
- layer_range: [40, 48]
model: /workspace/mergekit/evol_storage/input_models/Qwen2.5-14B-Wernicke_200578629
parameters:
density: 0.8135033850596236
weight: 0.3232815470411797
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