README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- allknowingroger/Qwen2.5-slerp-14B
- tanliboy/lambda-qwen2.5-14b-dpo-test
- allknowingroger/Qwenslerp3-14B
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
- Qwen/Qwen2.5-14B-Instruct
- Qwen/Qwen2.5-14B
- v000000/Qwen2.5-Lumen-14B
- allknowingroger/Qwenslerp2-14B
model-index:
- name: Qwen2.5-14B-MergeStock
  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: 56.85
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      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: 51.01
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      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: 27.34
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      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: 16.44
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      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: 17.85
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      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: 48.84
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
      name: Open LLM Leaderboard
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---
# 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:
* [allknowingroger/Qwen2.5-slerp-14B](https://huggingface.co/allknowingroger/Qwen2.5-slerp-14B)
* [tanliboy/lambda-qwen2.5-14b-dpo-test](https://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)
* [allknowingroger/Qwenslerp3-14B](https://huggingface.co/allknowingroger/Qwenslerp3-14B)
* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0)
* [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta)
* [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)
* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B)
* [allknowingroger/Qwenslerp2-14B](https://huggingface.co/allknowingroger/Qwenslerp2-14B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Qwen/Qwen2.5-14B-Instruct
  - model: Qwen/Qwen2.5-14B
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
  - model: allknowingroger/Qwenslerp2-14B
  - model: allknowingroger/Qwenslerp3-14B
  - model: allknowingroger/Qwen2.5-slerp-14B
  - model: v000000/Qwen2.5-Lumen-14B
  - model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
base_model: Qwen/Qwen2.5-14B
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct

```

# [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-MergeStock)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |36.39|
|IFEval (0-Shot)    |56.85|
|BBH (3-Shot)       |51.01|
|MATH Lvl 5 (4-Shot)|27.34|
|GPQA (0-shot)      |16.44|
|MuSR (0-shot)      |17.85|
|MMLU-PRO (5-shot)  |48.84|