---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- AIDC-AI/Marco-o1
- fblgit/cybertron-v4-qw7B-UNAMGS
- rombodawg/Rombos-LLM-V2.5-Qwen-7b
- Qwen/Qwen2.5-7B-Instruct
- bunnycore/Qwen-2.1-7b-Persona-lora_model
model-index:
- name: QwenMosaic-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: 58.19
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 36.75
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 8.46
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 1.45
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 10.21
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 36.78
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [AIDC-AI/Marco-o1](https://huggingface.co/AIDC-AI/Marco-o1)
* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS)
* [rombodawg/Rombos-LLM-V2.5-Qwen-7b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b)
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) + [bunnycore/Qwen-2.1-7b-Persona-lora_model](https://huggingface.co/bunnycore/Qwen-2.1-7b-Persona-lora_model)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
    parameters:
      weight: 1.0
  - model: AIDC-AI/Marco-o1
    parameters:
      weight: 1.0
  - model: fblgit/cybertron-v4-qw7B-UNAMGS
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      weight: 1.0
merge_method: linear
normalize: false
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__QwenMosaic-7B)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |25.31|
|IFEval (0-Shot)    |58.19|
|BBH (3-Shot)       |36.75|
|MATH Lvl 5 (4-Shot)| 8.46|
|GPQA (0-shot)      | 1.45|
|MuSR (0-shot)      |10.21|
|MMLU-PRO (5-shot)  |36.78|