---
base_model:
- Orion-zhen/Qwen2.5-14B-Instruct-Uncensored
- allura-org/TQ2.5-14B-Sugarquill-v1
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- Qwen/Qwen2.5-14B-Instruct
- Orion-zhen/Meissa-Qwen2.5-14B-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 della_linear merge method using [Orion-zhen/Qwen2.5-14B-Instruct-Uncensored](https://huggingface.co/Orion-zhen/Qwen2.5-14B-Instruct-Uncensored) as a base.

### Models Merged

The following models were included in the merge:
* [allura-org/TQ2.5-14B-Sugarquill-v1](https://huggingface.co/allura-org/TQ2.5-14B-Sugarquill-v1)
* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2)
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
* [Orion-zhen/Meissa-Qwen2.5-14B-Instruct](https://huggingface.co/Orion-zhen/Meissa-Qwen2.5-14B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-14B-Instruct
    parameters:
      weight: 0.1
      density: 0.4
  - model: Orion-zhen/Meissa-Qwen2.5-14B-Instruct
    parameters:
      weight: 0.12
      density: 0.5
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
    parameters:
      weight: 0.2
      density: 0.6
  - model: allura-org/TQ2.5-14B-Sugarquill-v1
    parameters:
      weight: 0.45
      density: 0.7
merge_method: della_linear
base_model: Orion-zhen/Qwen2.5-14B-Instruct-Uncensored
parameters:
  epsilon: 0.05
  lambda: 1
dtype: bfloat16
tokenizer_source: base
```