---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Qwen2.5-3B-RP-Mix
- Spestly/Athena-1-3B
- Qwen/Qwen2.5-3B-Instruct
- PowerInfer/SmallThinker-3B-Preview
model-index:
- name: Qwen2.5-3B-RP-Thinker
  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: 58.94
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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: 17.41
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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: 2.27
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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: 1.9
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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: 1.76
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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: 23.89
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-RP-Thinker
      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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [bunnycore/Qwen2.5-3B-RP-Mix](https://huggingface.co/bunnycore/Qwen2.5-3B-RP-Mix)
* [Spestly/Athena-1-3B](https://huggingface.co/Spestly/Athena-1-3B)
* [PowerInfer/SmallThinker-3B-Preview](https://huggingface.co/PowerInfer/SmallThinker-3B-Preview)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: PowerInfer/SmallThinker-3B-Preview
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: bunnycore/Qwen2.5-3B-RP-Mix
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: Spestly/Athena-1-3B
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: Qwen/Qwen2.5-3B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16


```

# [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__Qwen2.5-3B-RP-Thinker-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |17.69|
|IFEval (0-Shot)    |58.94|
|BBH (3-Shot)       |17.41|
|MATH Lvl 5 (4-Shot)| 2.27|
|GPQA (0-shot)      | 1.90|
|MuSR (0-shot)      | 1.76|
|MMLU-PRO (5-shot)  |23.89|