README.md

metadata

tags:
  - merge
  - mergekit
  - lazymergekit
  - Quazim0t0/Mithril-14B-sce
  - Quazim0t0/Phi4Basis-14B-sce
  - bunnycore/Phi-4-RR-Shoup
base_model:
  - Quazim0t0/Mithril-14B-sce
  - Quazim0t0/Phi4Basis-14B-sce
  - bunnycore/Phi-4-RR-Shoup
model-index:
  - name: NovaScotia-14b-stock
    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: 67.87
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          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: 56.03
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          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: 44.18
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          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: 13.2
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          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: 15.7
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          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: 48.99
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/NovaScotia-14b-stock
          name: Open LLM Leaderboard

Open to use

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.00
IFEval (0-Shot)	67.87
BBH (3-Shot)	56.03
MATH Lvl 5 (4-Shot)	44.18
GPQA (0-shot)	13.20
MuSR (0-shot)	15.70
MMLU-PRO (5-shot)	48.99