merge
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 CultriX/SeQwence-14Bv1 as a base.
Models Merged
The following models were included in the merge:
- CultriX/Qwen2.5-14B-Wernickev3
- CultriX/SeQwence-14B-EvolMerge
- CultriX/Qwen2.5-14B-Unity
- CultriX/Qwen2.5-14B-Emergedv3
- sometimesanotion/Qwen2.5-14B-Vimarckoso
- allknowingroger/QwenSlerp6-14B
- qingy2019/Qwen2.5-Math-14B-Instruct
Configuration
The following YAML configuration was used to produce this model:
models:
- model: CultriX/SeQwence-14Bv1
parameters:
weight: 0.18
density: 0.6
- model: CultriX/Qwen2.5-14B-Wernickev3
parameters:
weight: 0.18
density: 0.6
- model: allknowingroger/QwenSlerp6-14B
parameters:
weight: 0.18
density: 0.6
- model: CultriX/Qwen2.5-14B-Unity
parameters:
weight: 0.12
density: 0.55
- model: qingy2019/Qwen2.5-Math-14B-Instruct
parameters:
weight: 0.1
density: 0.55
- model: sometimesanotion/Qwen2.5-14B-Vimarckoso
parameters:
weight: 0.1
density: 0.55
- model: CultriX/Qwen2.5-14B-Emergedv3
parameters:
weight: 0.1
density: 0.55
- model: CultriX/SeQwence-14B-EvolMerge
parameters:
weight: 0.1
density: 0.55
merge_method: dare_ties
base_model: CultriX/SeQwence-14Bv1
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
adaptive_merge_parameters:
task_weights:
IFEval: 1.6
BBH: 1.8
MATH: 1.6
GPQA: 1.7
MUSR: 1.7
MMLU-PRO: 1.6
smoothing_factor: 0.23
gradient_clipping: 0.85
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