Qwen2.5-14B
Collection
CultriX Qwen2.5-14B Models.
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5 items
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Updated
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1
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using CultriX/Qwen2.5-14B-MegaMerge-pt1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
# final_dare_ties_merge.yaml
models:
- model: CultriX/Qwen2.5-14B-MergeStock
parameters:
density: 0.5 # Retain 50% of the most significant parameters
weight: 0.6 # Emphasize MergeStock's contributions
- model: CultriX/Qwen2.5-14B-Wernicke
parameters:
density: 0.5 # Retain 50% of the most significant parameters
weight: 0.4 # Incorporate Wernicke's contributions
merge_method: dare_ties
base_model: CultriX/Qwen2.5-14B-MegaMerge-pt1
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct