README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Triangle104/Phi4-RP-o1
  - ngxson/LoRA-phi-4-abliterated
model-index:
  - name: Phi4-RP-o1-Ablit
    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: 2.39
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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: 51.22
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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: 38.82
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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: 15.1
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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: 18.93
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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: 45.61
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Phi4-RP-o1-Ablit
          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 Passthrough merge method using Triangle104/Phi4-RP-o1 + ngxson/LoRA-phi-4-abliterated as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: Triangle104/Phi4-RP-o1+ngxson/LoRA-phi-4-abliterated
dtype: bfloat16
merge_method: passthrough
models:
  - model: Triangle104/Phi4-RP-o1+ngxson/LoRA-phi-4-abliterated

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	28.68
IFEval (0-Shot)	2.39
BBH (3-Shot)	51.22
MATH Lvl 5 (4-Shot)	38.82
GPQA (0-shot)	15.10
MuSR (0-shot)	18.93
MMLU-PRO (5-shot)	45.61