Qwen3-4B-Mixture is a merged language model built upon the Qwen3-4B architecture. This model is a result of combining several fine-tuned versions of Qwen3-4B, with a particular emphasis on incorporating "uncensored" or less restricted variants. The intention behind this merger is to potentially enhance the model's breadth of knowledge and reduce certain inherent biases or limitations often found in more heavily moderated models.
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
- Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1
- mlabonne/Qwen3-4B-abliterated
- ValiantLabs/Qwen3-4B-Esper3
- fakezeta/amoral-Qwen3-4B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Qwen3-4B-abliterated
parameters:
weight: 0.4
- model: ValiantLabs/Qwen3-4B-Esper3
parameters:
weight: 0.5
- model: fakezeta/amoral-Qwen3-4B
parameters:
weight: 0.6
- model: Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1
parameters:
weight: 0.4
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
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