---
base_model: CultriX/Qwen2.5-14B-Wernicke
language:
- en
library_name: transformers
quantized_by: Apel-sin
tags:
- mergekit
- merge
---
# About

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static quants of https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke

# 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 [Model Stock](https://arxiv.org/abs/2403.19522) 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:
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [arcee-ai/SuperNova-Medius](https://huggingface.co/arcee-ai/SuperNova-Medius)
* [rombodawg/Rombos-LLM-V2.6-Qwen-14b](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b)
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
  - model: Qwen/Qwen2.5-14B-Instruct
  - model: arcee-ai/SuperNova-Medius
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
  - model: v000000/Qwen2.5-Lumen-14B
base_model: Qwen/Qwen2.5-14B
merge_method: model_stock
dtype: bfloat16
```

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_CultriX__Qwen2.5-14B-Wernicke)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |36.60|
|IFEval (0-Shot)    |52.35|
|BBH (3-Shot)       |50.64|
|MATH Lvl 5 (4-Shot)|30.06|
|GPQA (0-shot)      |19.13|
|MuSR (0-shot)      |18.25|
|MMLU-PRO (5-shot)  |49.15|