merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della_linear merge method using Orion-zhen/Qwen2.5-14B-Instruct-Uncensored as a base.
Models Merged
The following models were included in the merge:
- allura-org/TQ2.5-14B-Sugarquill-v1
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- Qwen/Qwen2.5-14B-Instruct
- Orion-zhen/Meissa-Qwen2.5-14B-Instruct
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-14B-Instruct
parameters:
weight: 0.1
density: 0.4
- model: Orion-zhen/Meissa-Qwen2.5-14B-Instruct
parameters:
weight: 0.12
density: 0.5
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
parameters:
weight: 0.2
density: 0.6
- model: allura-org/TQ2.5-14B-Sugarquill-v1
parameters:
weight: 0.45
density: 0.7
merge_method: della_linear
base_model: Orion-zhen/Qwen2.5-14B-Instruct-Uncensored
parameters:
epsilon: 0.05
lambda: 1
dtype: bfloat16
tokenizer_source: base
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