README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- prithivMLmods/QwQ-LCoT-3B-Instruct
- bunnycore/Qwen2.5-3B-RP-Mix
model-index:
- name: QwQen-3B-LCoT
  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: 60.25
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
      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: 28.5
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
      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/QwQen-3B-LCoT
      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: 2.24
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
      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: 10.76
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
      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: 29.99
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwQen-3B-LCoT
      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 using [bunnycore/Qwen2.5-3B-RP-Mix](https://huggingface.co/bunnycore/Qwen2.5-3B-RP-Mix) as a base.

### Models Merged

The following models were included in the merge:
* [prithivMLmods/QwQ-LCoT-3B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-3B-Instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: linear
dtype: bfloat16
normalize: true
base_model: bunnycore/Qwen2.5-3B-RP-Mix
models:
  - model: bunnycore/Qwen2.5-3B-RP-Mix
    parameters:
      weight: 10
      density: 1
  - model: prithivMLmods/QwQ-LCoT-3B-Instruct
    parameters:
      weight: 7
      density: 0.8

```

# [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__QwQen-3B-LCoT-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |22.11|
|IFEval (0-Shot)    |60.25|
|BBH (3-Shot)       |28.50|
|MATH Lvl 5 (4-Shot)| 0.91|
|GPQA (0-shot)      | 2.24|
|MuSR (0-shot)      |10.76|
|MMLU-PRO (5-shot)  |29.99|