README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
- bunnycore/Phi-4-ReasoningRP
- bunnycore/Phi-4-Model-Stock-v4
model-index:
- name: Phi-4-RR-Shoup
  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: 65.87
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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: 56.11
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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: 47.96
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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: 11.63
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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: 14.94
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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: 49.21
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RR-Shoup
      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:
* [Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors](https://huggingface.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors)
* [bunnycore/Phi-4-ReasoningRP](https://huggingface.co/bunnycore/Phi-4-ReasoningRP)
* [bunnycore/Phi-4-Model-Stock-v4](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v4)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
    parameters:
      weight: 1.0
  - model: bunnycore/Phi-4-Model-Stock-v4
    parameters:
      weight: 1.0
  - model: bunnycore/Phi-4-ReasoningRP
    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/bunnycore__Phi-4-RR-Shoup-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |40.95|
|IFEval (0-Shot)    |65.87|
|BBH (3-Shot)       |56.11|
|MATH Lvl 5 (4-Shot)|47.96|
|GPQA (0-shot)      |11.63|
|MuSR (0-shot)      |14.94|
|MMLU-PRO (5-shot)  |49.21|