---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Etherll/Qwen2.5-7B-della-test
- jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
- fblgit/cybertron-v4-qw7B-MGS
- Qwen/Qwen2.5-7B
model-index:
- name: QandoraExp-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: 75.09
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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: 35.92
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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: 0.91
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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: 8.05
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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: 13.2
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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: 37.89
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QandoraExp-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 [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Etherll/Qwen2.5-7B-della-test](https://huggingface.co/Etherll/Qwen2.5-7B-della-test)
* [jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0](https://huggingface.co/jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0)
* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: Etherll/Qwen2.5-7B-della-test
    parameters:
      weight: 1 
      density: 1
      lambda: 0.9
  - model: jeffmeloy/Qwen2.5-7B-nerd-uncensored-v1.0
    parameters:
      weight: 1 
      density: 1
      lambda: 0.9
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      weight: 1 
      density: 1
      lambda: 0.9
merge_method: della
base_model: Qwen/Qwen2.5-7B
parameters:
  weight: 1 
  density: 1
  lambda: 0.9
  int8_mask: true
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_bunnycore__QandoraExp-7B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |28.51|
|IFEval (0-Shot)    |75.09|
|BBH (3-Shot)       |35.92|
|MATH Lvl 5 (4-Shot)| 0.91|
|GPQA (0-shot)      | 8.05|
|MuSR (0-shot)      |13.20|
|MMLU-PRO (5-shot)  |37.89|