nthehai01/Qwen2.5-7B-Instruct-Math-Code-task-arithmetic

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

Performance

| Metric |Value|

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

|GSM8k (zero-shot) |86.20|

|HellaSwag (zero-Shot) |49.91|

|MBPP (zero-shot) |55.20|

Merge Details

Merge Method

This model was merged using the Task Arithmetic 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: task_arithmetic

parameters:

  lambda: 0.5676097213578511

  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:

      weight: 0.5215841338521604

  - layer_range: [0, 28]

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

    parameters:

      weight: 0.13680114132969845

  - layer_range: [0, 28]

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

    parameters:

      weight: 0.8507353075455186