README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - lazymergekit
model-index:
  - name: HyperLlama-3.1-8B
    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: 78.83
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          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: 29.81
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          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: 16.01
            name: exact match
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          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: 4.92
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          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: 7.93
            name: acc_norm
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          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: 30.92
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/HyperLlama-3.1-8B
          name: Open LLM Leaderboard

HyperLlama-3.1-8B

HyperLlama-3.1-8B is a merge of the following models using mergekit:

🧩 Configuration

models:
  - model: Replete-AI/Replete-LLM-V2-Llama-3.1-8b
  - model: Dampfinchen/Llama-3.1-8B-Ultra-Instruct
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
merge_method: model_stock
base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	28.07
IFEval (0-Shot)	78.83
BBH (3-Shot)	29.81
MATH Lvl 5 (4-Shot)	16.01
GPQA (0-shot)	4.92
MuSR (0-shot)	7.93
MMLU-PRO (5-shot)	30.92