| ---
|
| base_model:
|
| - Qwen/Qwen2.5-7B-Instruct
|
| - Qwen/Qwen2.5-Coder-7B
|
| - Qwen/Qwen2.5-Math-7B
|
| - Qwen/Qwen2.5-7B
|
| library_name: transformers
|
| tags:
|
| - mergekit
|
| - merge
|
| language:
|
| - zho
|
| - eng
|
| - fra
|
| - spa
|
| - por
|
| - deu
|
| - ita
|
| - rus
|
| - jpn
|
| - kor
|
| - vie
|
| - tha
|
| - ara
|
| ---
|
| # nthehai01/Qwen2.5-7B-Instruct-Math-Code-dare-linear
|
|
|
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
|
|
|
| ## Performance
|
| | Metric |Value|
|
| |---------------------------------|----:|
|
| |GSM8k (zero-shot) |87.79|
|
| |HellaSwag (zero-Shot) |34.29|
|
| |MBPP (zero-shot) |60.41|
|
|
|
| ## Merge Details
|
| ### Merge Method
|
|
|
| This model was merged using the [Linear DARE](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.
|
|
|
| ### Models Merged
|
|
|
| The following models were included in the merge:
|
| * [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
|
| * [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B)
|
| * [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
|
|
|
| ### Configuration
|
|
|
| The following YAML configuration was used to produce this model:
|
|
|
| ```yaml
|
| base_model: Qwen/Qwen2.5-7B
|
| dtype: bfloat16
|
| merge_method: dare_linear
|
| parameters:
|
| lambda: 0.690661354021995
|
| 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: 0.9593725853706829
|
| weight: 0.11472446469404357
|
| - layer_range: [0, 28]
|
| model: Qwen/Qwen2.5-Coder-7B
|
| parameters:
|
| density: 0.768281938201547
|
| weight: 0.11350094855547865
|
| - layer_range: [0, 28]
|
| model: Qwen/Qwen2.5-7B-Instruct
|
| parameters:
|
| density: 0.48528478746069637
|
| weight: 0.6453505470133651
|
| ```
|
|
|
