README.md

---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- bunnycore/Phi-4-ReasoningRP
- bunnycore/Phi-4-Model-Stock-v4
- Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
model-index:
- name: Phi-4-RStock-v0.1
  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: 70.03
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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: 55.98
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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: 38.07
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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: 15.32
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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: 16.73
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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: 48.9
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-RStock-v0.1
      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 [bunnycore/Phi-4-Model-Stock-v4](https://huggingface.co/bunnycore/Phi-4-Model-Stock-v4) as a base.

### Models Merged

The following models were included in the merge:
* [bunnycore/Phi-4-ReasoningRP](https://huggingface.co/bunnycore/Phi-4-ReasoningRP)
* [Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors](https://huggingface.co/Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Quazim0t0/Phi4.Turn.R1Distill_v1.5.1-Tensors
  - model: bunnycore/Phi-4-Model-Stock-v4
  - model: bunnycore/Phi-4-ReasoningRP
  
merge_method: model_stock
base_model: bunnycore/Phi-4-Model-Stock-v4
parameters:
    normalize: true
dtype: bfloat16
tokenizer_source: bunnycore/Phi-4-Model-Stock-v4

```

# [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-RStock-v0.1-details)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |40.84|
|IFEval (0-Shot)    |70.03|
|BBH (3-Shot)       |55.98|
|MATH Lvl 5 (4-Shot)|38.07|
|GPQA (0-shot)      |15.32|
|MuSR (0-shot)      |16.73|
|MMLU-PRO (5-shot)  |48.90|