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---
base_model:
- chargoddard/qwamma-14b-merge-v1
- arcee-train/Qwen2.5-14B-Instruct_arcee-qwen2-14B-v0.2
- Qwen/Qwen2.5-14B
library_name: transformers
tags:
- mergekit
- merge
---
# qwamma-14b-merge-v9
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 [Qwen/Qwen2.5-14B](https://huggingface.co./Qwen/Qwen2.5-14B) as a base.
### Models Merged
The following models were included in the merge:
* [chargoddard/qwamma-14b-merge-v1](https://huggingface.co./chargoddard/qwamma-14b-merge-v1)
* [arcee-train/Qwen2.5-14B-Instruct_arcee-qwen2-14B-v0.2](https://huggingface.co./arcee-train/Qwen2.5-14B-Instruct_arcee-qwen2-14B-v0.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: ties
base_model: Qwen/Qwen2.5-14B
models:
- model: chargoddard/qwamma-14b-merge-v1
parameters:
density: 1.0
weight: 1.0
- model: arcee-train/Qwen2.5-14B-Instruct_arcee-qwen2-14B-v0.2
parameters:
density: 0.66
weight:
- filter: mlp
value: [0, 0.3, 0.6, 0.1]
- filter: self_attn
value: [0, 0, 0.2, 0.1]
- value: 0.1
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
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