---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- open-thoughts/OpenThinker-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- Qwen/Qwen2.5-7B-Instruct-1M
- NovaSky-AI/Sky-T1-mini
- open-r1/OpenR1-Qwen-7B
model-index:
- name: Qwen2.5-7B-Sky-R1-Mini
  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: 23.05
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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: 8.9
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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: 2.95
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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: 5.26
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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: 1.27
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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: 2.81
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Sky-R1-Mini
      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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M) as a base.

### Models Merged

The following models were included in the merge:
* [open-thoughts/OpenThinker-7B](https://huggingface.co/open-thoughts/OpenThinker-7B)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
* [NovaSky-AI/Sky-T1-mini](https://huggingface.co/NovaSky-AI/Sky-T1-mini)
* [open-r1/OpenR1-Qwen-7B](https://huggingface.co/open-r1/OpenR1-Qwen-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  # Pivot model
  - model: Qwen/Qwen2.5-7B-Instruct-1M
  # Target models
  - model: open-r1/OpenR1-Qwen-7B
  - model: open-thoughts/OpenThinker-7B
  - model: NovaSky-AI/Sky-T1-mini
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
merge_method: sce
base_model: Qwen/Qwen2.5-7B-Instruct-1M
parameters:
  select_topk: 1.0
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/bunnycore__Qwen2.5-7B-Sky-R1-Mini-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               | 7.37|
|IFEval (0-Shot)    |23.05|
|BBH (3-Shot)       | 8.90|
|MATH Lvl 5 (4-Shot)| 2.95|
|GPQA (0-shot)      | 5.26|
|MuSR (0-shot)      | 1.27|
|MMLU-PRO (5-shot)  | 2.81|