README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/QwQen-3B-LCoT
- bunnycore/Qwen-2.5-3b-R1-lora_model-v.1
- Qwen/Qwen2.5-3B-Instruct
- bunnycore/Qwen2.5-3B-RP-Thinker-V2
- bunnycore/Qwen-2.5-s1k-R1-lora-v1.1
- bunnycore/Qwen2.5-3B-Model-Stock-v2
model-index:
- name: Qwen2.5-3B-Model-Stock-v3.2
  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: 63.53
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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: 26.33
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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: 37.54
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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: 4.47
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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: 6.97
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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: 25.49
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-3B-Model-Stock-v3.2
      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 [Model Stock](https://arxiv.org/abs/2403.19522) 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/QwQen-3B-LCoT](https://huggingface.co/bunnycore/QwQen-3B-LCoT) + [bunnycore/Qwen-2.5-3b-R1-lora_model-v.1](https://huggingface.co/bunnycore/Qwen-2.5-3b-R1-lora_model-v.1)
* [bunnycore/Qwen2.5-3B-RP-Thinker-V2](https://huggingface.co/bunnycore/Qwen2.5-3B-RP-Thinker-V2) + [bunnycore/Qwen-2.5-s1k-R1-lora-v1.1](https://huggingface.co/bunnycore/Qwen-2.5-s1k-R1-lora-v1.1)
* [bunnycore/Qwen2.5-3B-Model-Stock-v2](https://huggingface.co/bunnycore/Qwen2.5-3B-Model-Stock-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: bunnycore/Qwen2.5-3B-RP-Thinker-V2+bunnycore/Qwen-2.5-s1k-R1-lora-v1.1
  - model: bunnycore/Qwen2.5-3B-Model-Stock-v2
  - model: bunnycore/QwQen-3B-LCoT+bunnycore/Qwen-2.5-3b-R1-lora_model-v.1
base_model: Qwen/Qwen2.5-3B-Instruct
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-3B-Instruct

```

# [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-Model-Stock-v3.2-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |27.39|
|IFEval (0-Shot)    |63.53|
|BBH (3-Shot)       |26.33|
|MATH Lvl 5 (4-Shot)|37.54|
|GPQA (0-shot)      | 4.47|
|MuSR (0-shot)      | 6.97|
|MMLU-PRO (5-shot)  |25.49|