README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
model-index:
- name: FrankenQwen2.5-14B
  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: 18.69
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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: 44.27
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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: 0.0
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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: 2.68
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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: 5.53
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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: 37.57
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=synergetic/FrankenQwen2.5-14B
      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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [rombodawg/Rombos-LLM-V2.6-Qwen-14b](https://huggingface.co/rombodawg/Rombos-LLM-V2.6-Qwen-14b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [0, 8]
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [8, 24]
      parameters:
        scale:
          - filter: q_proj
            value: 0.919
          - filter: k_proj
            value: 0.919
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [16, 24]
      parameters:
        scale:
          - filter: q_proj
            value: 0.7
          - filter: k_proj
            value: 0.7
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [16, 32]
      parameters:
        scale:
          - filter: q_proj
            value: 0.919
          - filter: k_proj
            value: 0.919
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [32, 40]
merge_method: passthrough
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_synergetic__FrankenQwen2.5-14B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |18.13|
|IFEval (0-Shot)    |18.69|
|BBH (3-Shot)       |44.27|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot)      | 2.68|
|MuSR (0-shot)      | 5.53|
|MMLU-PRO (5-shot)  |37.57|