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---
base_model:
- Qwen/Qwen2.5-7B-Instruct
- Qwen/Qwen2.5-Math-7B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Benchmarks
| Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
|-----------------|-------|----------------|-----:|-----------|---|-----:|---|------|
|tinyBenchmarks | N/A| | | | | | | |
| - tinyArc | 0|none | 25|acc_norm |↑ |0.2407|± | N/A|
| - tinyGSM8k | 0|flexible-extract | 5|exact_match|↑ |0.0055|± | N/A|
| | |strict-match | 5|exact_match|↑ |0.0055|± | N/A|
| - tinyHellaswag | 0|none | 10|acc_norm |↑ |0.3322|± | N/A|
| - tinyMMLU | 0|none | 0|acc_norm |↑ |0.2839|± | N/A|
| - tinyTruthfulQA| 0|none | 0|acc |↑ | NaN|± | N/A|
| - tinyWinogrande| 0|none | 5|acc_norm |↑ |0.4491|± | N/A|
### Merge Method
This model was merged using the NuSLERP merge method.
### 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-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Qwen/Qwen2.5-7B-Instruct
layer_range: [0, 7]
- model: Qwen/Qwen2.5-Math-7B-Instruct
layer_range: [0, 7]
parameters:
weight: [0.85, 0.15]
nuslerp_flatten: false
- sources:
- model: Qwen/Qwen2.5-7B-Instruct
layer_range: [7, 14]
- model: Qwen/Qwen2.5-Math-7B-Instruct
layer_range: [7, 14]
parameters:
weight: [0.6, 0.4]
nuslerp_flatten: false
- sources:
- model: Qwen/Qwen2.5-7B-Instruct
layer_range: [14, 21]
- model: Qwen/Qwen2.5-Math-7B-Instruct
layer_range: [14, 21]
parameters:
weight: [0.4, 0.6]
nuslerp_flatten: false
- sources:
- model: Qwen/Qwen2.5-7B-Instruct
layer_range: [21, 28]
- model: Qwen/Qwen2.5-Math-7B-Instruct
layer_range: [21, 28]
parameters:
weight: [0.3, 0.7]
nuslerp_flatten: false
merge_method: nuslerp
dtype: float16
```
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