nthehai01/Qwen2.5-7B-Instruct-Math-Code-breadcrumbs

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

Performance

| Metric |Value|

|---------------------------------|----:|

|GSM8k (zero-shot) |90.06|

|HellaSwag (zero-Shot) |82.77|

|MBPP (zero-shot) |62.21|

Merge Details

Merge Method

This model was merged using the Model Breadcrumbs merge method using Qwen/Qwen2.5-7B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:


base_model: Qwen/Qwen2.5-7B

dtype: bfloat16

merge_method: breadcrumbs

parameters:

  lambda: 0.9075603207928135

  normalize: 1.0

slices:

- sources:

  - layer_range: [0, 28]

    model: Qwen/Qwen2.5-7B

  - layer_range: [0, 28]

    model: Qwen/Qwen2.5-Math-7B

    parameters:

      density: 0.11722197443445775

      gamma: 0.07547691839721048

      weight: 0.17267293536872041

  - layer_range: [0, 28]

    model: Qwen/Qwen2.5-Coder-7B

    parameters:

      density: 0.48352747334554935

      gamma: 0.0753405327865558

      weight: 0.11164770709858211

  - layer_range: [0, 28]

    model: Qwen/Qwen2.5-7B-Instruct

    parameters:

      density: 0.8190520808683315

      gamma: 0.022307694128235696

      weight: 0.7626295102691242