base_model: | |
- Qwen/Qwen2.5-Math-7B | |
- katanemo/Arch-Function-7B | |
- happzy2633/qwen2.5-7b-ins-v3 | |
- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1 | |
- Qwen/Qwen2.5-7B-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 | |
### Merge Method | |
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [happzy2633/qwen2.5-7b-ins-v3](https://huggingface.co/happzy2633/qwen2.5-7b-ins-v3) as a base. | |
### Models Merged | |
The following models were included in the merge: | |
* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) | |
* [katanemo/Arch-Function-7B](https://huggingface.co/katanemo/Arch-Function-7B) | |
* [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1) | |
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | |
### Configuration | |
The following YAML configuration was used to produce this model: | |
```yaml | |
models: | |
- model: happzy2633/qwen2.5-7b-ins-v3 | |
#no parameters necessary for base model | |
- model: Qwen/Qwen2.5-Math-7B | |
parameters: | |
density: 0.4 | |
weight: 0.4 | |
- model: Qwen/Qwen2.5-7B-Instruct | |
parameters: | |
density: 0.2 | |
weight: 0.2 | |
- model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1 | |
parameters: | |
density: 0.3 | |
weight: 0.3 | |
- model: katanemo/Arch-Function-7B | |
parameters: | |
density: 0.1 | |
weight: 0.1 | |
merge_method: ties | |
base_model: happzy2633/qwen2.5-7b-ins-v3 | |
parameters: | |
normalize: false | |
int8_mask: true | |
dtype: bfloat16 | |
``` | |