README.md

---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- allknowingroger/Qwenslerp2-14B
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- CultriX/Qwen2.5-14B-MergeStock
- CultriX/Qwestion-14B
- allknowingroger/Qwen2.5-slerp-14B
- allknowingroger/Qwenslerp3-14B
- CultriX/SeQwence-14Bv1
- CultriX/Qwen2.5-14B-Wernicke
model-index:
- name: QwenStock2-14B
  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: 55.63
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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: 50.6
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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: 29.91
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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: 17.23
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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: 19.28
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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: 48.95
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock2-14B
      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 [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base.

### Models Merged

The following models were included in the merge:
* [allknowingroger/Qwenslerp2-14B](https://huggingface.co/allknowingroger/Qwenslerp2-14B)
* [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2)
* [CultriX/Qwen2.5-14B-MergeStock](https://huggingface.co/CultriX/Qwen2.5-14B-MergeStock)
* [CultriX/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B)
* [allknowingroger/Qwen2.5-slerp-14B](https://huggingface.co/allknowingroger/Qwen2.5-slerp-14B)
* [allknowingroger/Qwenslerp3-14B](https://huggingface.co/allknowingroger/Qwenslerp3-14B)
* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: CultriX/Qwen2.5-14B-MergeStock
  - model: CultriX/SeQwence-14Bv1
  - model: allknowingroger/Qwenslerp2-14B
  - model: allknowingroger/Qwenslerp3-14B
  - model: allknowingroger/Qwen2.5-slerp-14B
  - model: CultriX/Qwestion-14B
  - model: CultriX/Qwen2.5-14B-Wernicke
  - model: CultriX/Qwen2.5-14B-MegaMerge-pt2
base_model: CultriX/SeQwence-14Bv1
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16
tokenizer_source: CultriX/SeQwence-14Bv1

```
# [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_allknowingroger__QwenStock2-14B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |36.93|
|IFEval (0-Shot)    |55.63|
|BBH (3-Shot)       |50.60|
|MATH Lvl 5 (4-Shot)|29.91|
|GPQA (0-shot)      |17.23|
|MuSR (0-shot)      |19.28|
|MMLU-PRO (5-shot)  |48.95|