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---
library_name: transformers
tags:
- mergekit
- merge
new_version: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v3
---
# About
Merged on a local 512GB memory AMD EPYC 7773X server.
# NQLSG-Qwen2.5-14B-MegaFusion
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 [SCE](https://arxiv.org/abs/2408.07990) merge method using /root/LLM/NQLSG-Qwen2.5-14B-Base as a base.
### Models Merged
The following models were included in the merge:
* /root/LLM/NQLSG-Qwen2.5-14B-Base6
* /root/LLM/NQLSG-Qwen2.5-14B-Base3
* /root/LLM/NQLSG-Qwen2.5-14B-Base4
* /root/LLM/NQLSG-Qwen2.5-14B-Base5
* /root/LLM/NQLSG-Qwen2.5-14B-Base2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: /root/LLM/NQLSG-Qwen2.5-14B-Base
chat_template: auto
dtype: bfloat16
merge_method: sce
parameters:
int8_mask: 1.0
slices:
- sources:
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base2
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base3
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base4
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base5
- layer_range: [0, 48]
model: /root/LLM/NQLSG-Qwen2.5-14B-Base6
tokenizer: {}
``` |