---
language:
- en
license: apache-2.0
tags:
- medical
- gpt4
- sft
- mergekit
- merge
base_model:
- CultriX/Qwen2.5-14B-Wernicke
datasets:
- CultriX/uptodate-small
- ajibawa-2023/Python-Code-23k-ShareGPT
- isaiahbjork/chain-of-thought-sharegpt
- shibing624/sharegpt_gpt4
- theblackcat102/sharegpt-english
metrics:
- accuracy
pipeline_tag: text-generation
model-index:
- name: Qwen2.5-14B-Wernicke
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 52.35
      name: strict accuracy
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 49.37
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 50.64
      name: normalized accuracy
    - type: acc_norm
      value: 49.33
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 30.06
      name: exact match
    - type: exact_match
      value: 35.8
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 19.13
      name: acc_norm
    - type: acc_norm
      value: 13.87
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 18.25
      name: acc_norm
    - type: acc_norm
      value: 7.55
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 49.15
      name: accuracy
    - type: acc
      value: 45.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-Wernicke
      name: Open LLM Leaderboard
---
# 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|
# [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-SFT)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |33.52|
|IFEval (0-Shot)    |49.37|
|BBH (3-Shot)       |49.33|
|MATH Lvl 5 (4-Shot)|35.80|
|GPQA (0-shot)      |13.87|
|MuSR (0-shot)      | 7.55|
|MMLU-PRO (5-shot)  |45.22|