README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Locutusque/StockQwen-2.5-7B
- djuna/Q2.5-Fuppavy-7B
- fblgit/cybertron-v4-qw7B-MGS
- happzy2633/qwen2.5-7b-ins-v3
model-index:
- name: Q2.5-Partron-7B
  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: 73.21
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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: 35.26
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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: 0.08
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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: 6.38
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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: 11.07
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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: 36.47
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
      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 della merge method using [djuna/Q2.5-Fuppavy-7B](https://huggingface.co/djuna/Q2.5-Fuppavy-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Locutusque/StockQwen-2.5-7B](https://huggingface.co/Locutusque/StockQwen-2.5-7B)
* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS)
* [happzy2633/qwen2.5-7b-ins-v3](https://huggingface.co/happzy2633/qwen2.5-7b-ins-v3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Locutusque/StockQwen-2.5-7B
    parameters:
      weight: 0.5
      density: 0.5
  - model: happzy2633/qwen2.5-7b-ins-v3
    parameters:
      weight: 0.3
      density: 1
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      weight: 1
      density: 0.8
merge_method: della
base_model: djuna/Q2.5-Fuppavy-7B
parameters:
  epsilon: 0.04
  lambda: 1.05
dtype: float32
out_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_djuna__Q2.5-Partron-7B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.08|
|IFEval (0-Shot)    |73.21|
|BBH (3-Shot)       |35.26|
|MATH Lvl 5 (4-Shot)| 0.08|
|GPQA (0-shot)      | 6.38|
|MuSR (0-shot)      |11.07|
|MMLU-PRO (5-shot)  |36.47|