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 unsloth/qwen2.5-32b-instruct as a base.
Models Merged
The following models were included in the merge:
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
- crestf411/Q2.5-32B-Slush
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
- huihui-ai/Qwen2.5-32B-Instruct-abliterated
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.1
- jpacifico/Chocolatine-32B-Instruct-DPO-v1.2
- gctian/qwen2.5-32B-roleplay-zh
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- JackCloudman/QwQ-32B-Preview-jackterated
Configuration
The following YAML configuration was used to produce this model:
models:
- model: crestf411/Q2.5-32B-Slush
parameters:
weight: 1.0
density: 0.85
- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
parameters:
weight: 0.30
density: 0.77
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.1
parameters:
weight: 0.28
density: 0.78
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
weight: 0.25
density: 0.78
- model: JackCloudman/QwQ-32B-Preview-jackterated
parameters:
weight: 0.24
density: 0.75
- model: jpacifico/Chocolatine-32B-Instruct-DPO-v1.2
parameters:
weight: 0.22
density: 0.74
- model: gctian/qwen2.5-32B-roleplay-zh
parameters:
weight: 0.20
density: 0.75
- model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
parameters:
weight: 0.18
density: 0.73
- model: huihui-ai/Qwen2.5-32B-Instruct-abliterated
parameters:
weight: 0.15
density: 0.70
merge_method: dare_ties
base_model: unsloth/qwen2.5-32b-instruct
parameters:
density: 0.84
epsilon: 0.07
lambda: 1.25
dtype: bfloat16
tokenizer_source: union
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