Gemmixtral

Gemmixtral is a merge of the following models using mergekit:

🧩 Configuration

models:
  - model: unsloth/gemma-2b-it-bnb-4bit
    # no parameters necessary for base model
  - model: akameswa/gemma2b_code_Javascript_4bit
    parameters:
      density: 0.25
      weight: 0.25
  - model: akameswa/gemma2b_code_python_4bit
    parameters:
      density: 0.25
      weight: 0.25
  - model: akameswa/gemma2b_code_java_4bit
    parameters:
      density: 0.25
      weight: 0.25
  - model: akameswa/gemma2b_code_cpp_4bit
    parameters:
      density: 0.25
      weight: 0.25
merge_method: ties
base_model: unsloth/gemma-2b-it-bnb-4bit
parameters:
  normalize: true
dtype: float16
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Model size
1.52B params
Tensor type
FP16
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Collection including akameswa/gemma-2b-code-ties