ertghiu256/Qwen-3-4b-ultimate-reasoning-gguf

Qwen 3 ultimate reasoning 4b

This is a merge of 4 Qwen pre-trained language models created using mergekit.

Merge Details

This model aims for general reasoning by mergeing a few Qwen 3 4b model that is trained multiple reasoning datasets

Merge Method

This model was merged using the Linear merge method using ertghiu256/qwen3-multi-reasoner as a base.

Models Merged

The following models were included in the merge:

• ertghiu256/qwen-3-4b-mixture-of-thought
• ertghiu256/qwen3-math-reasoner
• ertghiu256/qwen3-4b-code-reasoning

Configuration

The following YAML configuration was used to produce this model:

base_model: ertghiu256/qwen3-multi-reasoner
dtype: float16
merge_method: linear
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 36]
        model: ertghiu256/qwen3-multi-reasoner
        parameters:
          weight: 0.7
      - layer_range: [0, 36]
        model: ertghiu256/qwen-3-4b-mixture-of-thought
        parameters:
          weight: 0.9
      - layer_range: [0, 36]
        model: ertghiu256/qwen3-4b-code-reasoning
        parameters:
          weight: 0.8
      - layer_range: [0, 36]
        model: ertghiu256/qwen3-math-reasoner
        parameters:
          weight: 0.6
parameters:
  int8_mask: 1.0
  normalize: 1.0