Qwen2.5-3B-MiniMix / README.md
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---
base_model:
- Qwen/Qwen2.5-3B-Instruct
- bunnycore/Qwen-2.5-3b-Rp-lora_model
- bunnycore/Qwen-2.5-3b-Evol-CoT
- bunnycore/Qwen-2.5-3b-Rp-lora_model
- Qwen/Qwen2.5-3B
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 [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) as a base.
### Models Merged
The following models were included in the merge:
* [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) + [bunnycore/Qwen-2.5-3b-Rp-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-3b-Rp-lora_model)
* [bunnycore/Qwen-2.5-3b-Evol-CoT](https://huggingface.co/bunnycore/Qwen-2.5-3b-Evol-CoT) + [bunnycore/Qwen-2.5-3b-Rp-lora_model](https://huggingface.co/bunnycore/Qwen-2.5-3b-Rp-lora_model)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Qwen/Qwen2.5-3B-Instruct+bunnycore/Qwen-2.5-3b-Rp-lora_model
parameters:
density: 0.5
weight: 0.5
- model: bunnycore/Qwen-2.5-3b-Evol-CoT+bunnycore/Qwen-2.5-3b-Rp-lora_model
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Qwen/Qwen2.5-3B
parameters:
normalize: false
int8_mask: true
dtype: float16
```