---
base_model:
- djuna/Q2.5-Veltha-14B-0.5
- CultriX/Qwen2.5-14B-Brocav7
- CultriX/SeQwence-14Bv1
- CultriX/Qwen2.5-14B-Broca
- qingy2019/Qwen2.5-Math-14B-Instruct
- CultriX/Qwen2.5-14B-Wernickev3
- CultriX/Qwen2.5-14B-Brocav3
- allknowingroger/QwenSlerp6-14B
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) as a base.

### Models Merged

The following models were included in the merge:
* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5)
* [CultriX/Qwen2.5-14B-Brocav7](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav7)
* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)
* [CultriX/Qwen2.5-14B-Broca](https://huggingface.co/CultriX/Qwen2.5-14B-Broca)
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
* [CultriX/Qwen2.5-14B-Brocav3](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav3)
* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: dare_ties
base_model: CultriX/Qwen2.5-14B-Wernickev3
dtype: bfloat16
parameters:
  epsilon: 0.0075
  lambda: 2.1
  normalize: true
adaptive_merge_parameters:
  task_weights:
    tinyArc: 2.1
    tinyHellaswag: 1.9
    tinyMMLU: 2.1
    tinyTruthfulQA: 2.5
    tinyTruthfulQA_mc1: 2.4
    tinyWinogrande: 2.4
    IFEval: 2.4
    BBH: 2.3
    MATH: 2.6
    GPQA: 2.4
    MUSR: 2.5
    MMLU-PRO: 2.2
  smoothing_factor: 0.05
gradient_clipping:
  CultriX/Qwen2.5-14B-Wernickev3: 0.82
  djuna/Q2.5-Veltha-14B-0.5: 0.84
  qingy2019/Qwen2.5-Math-14B-Instruct: 0.87
  CultriX/SeQwence-14Bv1: 0.8
  CultriX/Qwen2.5-14B-Broca: 0.85
  CultriX/Qwen2.5-14B-Brocav3: 0.83
  CultriX/Qwen2.5-14B-Brocav7: 0.84
  allknowingroger/QwenSlerp6-14B: 0.8
models:
  - model: CultriX/Qwen2.5-14B-Wernickev3
    parameters:
      weight: 0.21
      density: 0.78
  - model: djuna/Q2.5-Veltha-14B-0.5
    parameters:
      weight: 0.2
      density: 0.76
  - model: qingy2019/Qwen2.5-Math-14B-Instruct
    parameters:
      weight: 0.18
      density: 0.75
  - model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.17
      density: 0.74
  - model: CultriX/Qwen2.5-14B-Broca
    parameters:
      weight: 0.17
      density: 0.74
  - model: CultriX/Qwen2.5-14B-Brocav3
    parameters:
      weight: 0.15
      density: 0.73
  - model: CultriX/Qwen2.5-14B-Brocav7
    parameters:
      weight: 0.14
      density: 0.72
  - model: allknowingroger/QwenSlerp6-14B
    parameters:
      weight: 0.13
      density: 0.72
tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3

```