---
base_model:
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- v000000/Qwen2.5-Lumen-14B
- qwen/Qwen2.5-14b
- arcee-ai/SuperNova-Medius
- allura-org/TQ2.5-14B-Aletheia-v1
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 [qwen/Qwen2.5-14b](https://huggingface.co/qwen/Qwen2.5-14b) as a base.

### Models Merged

The following models were included in the merge:
* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)
* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2)
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [arcee-ai/SuperNova-Medius](https://huggingface.co/arcee-ai/SuperNova-Medius)
* [allura-org/TQ2.5-14B-Aletheia-v1](https://huggingface.co/allura-org/TQ2.5-14B-Aletheia-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: della_linear
dtype: float32
out_dtype: bfloat16
parameters:
  epsilon: 0.04
  lambda: 1.05
  normalize: true
base_model: qwen/Qwen2.5-14b
tokenizer_source: arcee-ai/SuperNova-Medius
models:
  - model: arcee-ai/SuperNova-Medius
    parameters:
      weight: 10
      density: 1
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
    parameters:
      weight: 7
      density: 0.5
  - model: v000000/Qwen2.5-Lumen-14B
    parameters:
      weight: 7
      density: 0.4
  - model: allura-org/TQ2.5-14B-Aletheia-v1
    parameters:
      weight: 8
      density: 0.4
  - model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
    parameters:
      weight: 8
      density: 0.45
```