Shiina-Qwen2.5-32B
This is a merge of pre-trained language models created using mergekit.
Uncensored Qwen2.5 with a Japanese base model: rinna/qwen2.5-bakeneko-32b
Merge Details
Merge Method
This model was merged using the TIES merge method using rinna/qwen2.5-bakeneko-32b as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/Dumpling-Qwen2.5-32B-v2
- CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES
- nbeerbower/Dumpling-Qwen2.5-32B
- nbeerbower/Azura-Qwen2.5-32B
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Azura-Qwen2.5-32B
parameters:
weight: 1
density: 1
- model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
parameters:
weight: 1
density: 1
- model: CombinHorizon/zetasepic-abliteratedV2-Qwen2.5-32B-Inst-BaseMerge-TIES
parameters:
weight: 1
density: 1
- model: nbeerbower/Dumpling-Qwen2.5-32B
parameters:
weight: 1
density: 1
- model: nbeerbower/Dumpling-Qwen2.5-32B-v2
parameters:
weight: 1
density: 1
merge_method: ties
base_model: rinna/qwen2.5-bakeneko-32b
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer:
source: rinna/qwen2.5-bakeneko-32b-instruct
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