---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- CultriX/Qwen2.5-14B-Wernicke
- CultriX/Qwestion-14B
- CultriX/SeQwence-14B
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- CultriX/SeQwence-14Bv1
model-index:
- name: SeQwence-14Bv2
  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: 57.86
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      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: 46.53
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      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: 21.6
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      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: 14.77
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      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: 17.55
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      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: 48.16
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/SeQwence-14Bv2
      name: Open LLM Leaderboard
---
# final_model

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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [CultriX/SeQwence-14B](https://huggingface.co/CultriX/SeQwence-14B) 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/Qwestion-14B](https://huggingface.co/CultriX/Qwestion-14B)
* [CultriX/Qwen2.5-14B-MegaMerge-pt2](https://huggingface.co/CultriX/Qwen2.5-14B-MegaMerge-pt2)
* [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: CultriX/SeQwence-14B
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: 0.6973896126881656
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14B
    parameters:
      weight: 0.25536014932096784
  - layer_range: [0, 8]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: 0.024099354110818955
  - layer_range: [0, 8]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.062255273414504236
  - layer_range: [0, 8]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.19842743525221093
- sources:
  - layer_range: [8, 16]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: 0.16541251205918317
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14B
    parameters:
      weight: -0.11758222851964711
  - layer_range: [8, 16]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: 0.026110542928974606
  - layer_range: [8, 16]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.17351317150552764
  - layer_range: [8, 16]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.2189587409844403
- sources:
  - layer_range: [16, 24]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: -0.18585407879293625
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14B
    parameters:
      weight: 0.28979432739572986
  - layer_range: [16, 24]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: 0.13321246350564858
  - layer_range: [16, 24]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: -0.07525163437282778
  - layer_range: [16, 24]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.09939146833918691
- sources:
  - layer_range: [24, 32]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: 0.20535780306129478
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14B
    parameters:
      weight: 0.23689447247624298
  - layer_range: [24, 32]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: 0.08595523000213551
  - layer_range: [24, 32]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.32843658569448686
  - layer_range: [24, 32]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.5660243716148874
- sources:
  - layer_range: [32, 40]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: 0.4782495451944288
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14B
    parameters:
      weight: 0.04636896831126347
  - layer_range: [32, 40]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: -0.20847472991447114
  - layer_range: [32, 40]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: -0.13710751148654265
  - layer_range: [32, 40]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.04879517930226218
- sources:
  - layer_range: [40, 48]
    model: CultriX/Qwen2.5-14B-MegaMerge-pt2
    parameters:
      weight: 0.24947640644399857
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14B
    parameters:
      weight: 0.27995726695330514
  - layer_range: [40, 48]
    model: CultriX/Qwen2.5-14B-Wernicke
    parameters:
      weight: 0.29376471224311385
  - layer_range: [40, 48]
    model: CultriX/SeQwence-14Bv1
    parameters:
      weight: 0.11668812856147562
  - layer_range: [40, 48]
    model: CultriX/Qwestion-14B
    parameters:
      weight: 0.117720095241547
```

# [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__SeQwence-14Bv2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |34.41|
|IFEval (0-Shot)    |57.86|
|BBH (3-Shot)       |46.53|
|MATH Lvl 5 (4-Shot)|21.60|
|GPQA (0-shot)      |14.77|
|MuSR (0-shot)      |17.55|
|MMLU-PRO (5-shot)  |48.16|