---
base_model:
- CultriX/Qwen2.5-14B-MegaMerge-pt1
- CultriX/Qwen2.5-14B-Wernicke
- CultriX/Qwen2.5-14B-MergeStock
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
model-index:
- name: Qwen2.5-14B-MegaMerge-pt2
  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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      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
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MegaMerge-pt2
      name: Open LLM Leaderboard
metrics:
- accuracy
---
# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/Qwen2.5-14B-MegaMerge-pt1](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt1) as a base.

### Models Merged

The following models were included in the merge:
* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)
* [CultriX/Qwen2.5-14B-MergeStock](https://huggingface.co/CultriX/Qwen2.5-14B-MergeStock)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# final_dare_ties_merge.yaml

models:
  - model: CultriX/Qwen2.5-14B-MergeStock
    parameters:
      density: 0.5  # Retain 50% of the most significant parameters
      weight: 0.6    # Emphasize MergeStock's contributions
  - model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      density: 0.5  # Retain 50% of the most significant parameters
      weight: 0.4    # Incorporate Wernicke's contributions
merge_method: dare_ties
base_model: CultriX/Qwen2.5-14B-MegaMerge-pt1
parameters:
  normalize: true
  int8_mask: 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-MegaMerge-pt2)
|      Metric       | Value |
|------------------- |------:|
| Avg.               | 36.69 |
| IFEval (0-Shot)    | 56.83 |
| BBH (3-Shot)       | 50.91 |
| MATH Lvl 5 (4-Shot)| 27.34 |
| GPQA (0-shot)      | 17.23 |
| MuSR (0-shot)      | 18.74 |
| MMLU-PRO (5-shot)  | 49.12 |