README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - bunnycore/Phi-4-Model-Stock
  - bunnycore/Phi-4-Model-Stock-v3
  - bunnycore/Phi-4-Model-Stock-v2
  - pankajmathur/orca_mini_phi-4
model-index:
  - name: Phi-4-Model-Stock-v4
    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: 71.1
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          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: 55.9
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          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: 37.16
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          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: 15.88
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          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: 17.3
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          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: 48.82
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Phi-4-Model-Stock-v4
          name: Open LLM Leaderboard

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Model Stock merge method using bunnycore/Phi-4-Model-Stock as a base.

Models Merged

The following models were included in the merge:

• bunnycore/Phi-4-Model-Stock-v3
• bunnycore/Phi-4-Model-Stock-v2
• pankajmathur/orca_mini_phi-4

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: pankajmathur/orca_mini_phi-4
  - model: bunnycore/Phi-4-Model-Stock-v3
  - model: bunnycore/Phi-4-Model-Stock
  - model: bunnycore/Phi-4-Model-Stock-v2
  
merge_method: model_stock
base_model: bunnycore/Phi-4-Model-Stock
parameters:
    normalize: true
dtype: bfloat16
tokenizer_source: bunnycore/Phi-4-Model-Stock

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.03
IFEval (0-Shot)	71.10
BBH (3-Shot)	55.90
MATH Lvl 5 (4-Shot)	37.16
GPQA (0-shot)	15.88
MuSR (0-shot)	17.30
MMLU-PRO (5-shot)	48.82