---
base_model:
- CultriX/SeQwence-14Bv1
- allknowingroger/QwenSlerp6-14B
- qingy2019/Qwen2.5-Math-14B-Instruct
- CultriX/Qwenfinity-2.5-14B
- CultriX/Qwen2.5-14B-Wernickev3
- djuna/Q2.5-Veltha-14B-0.5
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 [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:
* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)
* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B)
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
* [CultriX/Qwenfinity-2.5-14B](https://huggingface.co/CultriX/Qwenfinity-2.5-14B)
* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: della_linear
base_model: CultriX/Qwen2.5-14B-Wernickev3
dtype: bfloat16
parameters:
  epsilon: 0.015            # Fine-grain scaling for precision.
  lambda: 1.6               # Strong emphasis on top-performing models.
  normalize: true           # Stable parameter integration across models.
adaptive_merge_parameters:
  task_weights:
    tinyArc: 1.75           # Logical reasoning.
    tinyHellaswag: 1.65     # Contextual predictions.
    tinyMMLU: 1.8           # Domain knowledge.
    tinyTruthfulQA: 2.0     # Prioritize truthful reasoning.
    tinyTruthfulQA_mc1: 1.85
    tinyWinogrande: 1.9     # Advanced reasoning and predictions.
    IFEval: 2.1             # Instruction-following and multitasking.
    BBH: 1.9                # Complex reasoning.
    MATH: 2.3               # Mathematical reasoning.
    GPQA: 2.0               # Factual QA.
    MUSR: 2.1               # Multi-step reasoning.
    MMLU-PRO: 1.95          # Domain multitask performance.
  smoothing_factor: 0.1     # Smooth blending across benchmarks.
gradient_clipping:
  CultriX/Qwen2.5-14B-Wernickev3: 0.9
  djuna/Q2.5-Veltha-14B-0.5: 0.92
  qingy2019/Qwen2.5-Math-14B-Instruct: 0.94
  CultriX/SeQwence-14Bv1: 0.88
  allknowingroger/QwenSlerp6-14B: 0.87
  CultriX/Qwenfinity-2.5-14B: 0.85
models:
  - model: CultriX/Qwen2.5-14B-Wernickev3
    parameters:
      weight: 0.25
      density: 0.72
  - model: djuna/Q2.5-Veltha-14B-0.5
    parameters:
      weight: 0.22
      density: 0.75
  - model: qingy2019/Qwen2.5-Math-14B-Instruct
    parameters:
      weight: 0.18
      density: 0.74
  - model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.15
      density: 0.7
  - model: allknowingroger/QwenSlerp6-14B
    parameters:
      weight: 0.12
      density: 0.68
  - model: CultriX/Qwenfinity-2.5-14B
    parameters:
      weight: 0.15
      density: 0.7
tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3

```