Qwen2.5-7B-Instruct-Math-slerp

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

Performance

Metric	Value
GSM8k (zero-shot)	91.05
HellaSwag (zero-Shot)	81.01
MBPP (zero-shot)	61.48

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• Qwen/Qwen2.5-Math-7B
• Qwen/Qwen2.5-7B-Instruct

Configuration

The following YAML configuration was used to produce this model:

base_model: Qwen/Qwen2.5-7B-Instruct
dtype: bfloat16
merge_method: slerp
parameters:
  t: 0.1
slices:
- sources:
  - layer_range: [0, 28]
    model: Qwen/Qwen2.5-7B-Instruct
  - layer_range: [0, 28]
    model: Qwen/Qwen2.5-Math-7B