README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - lazymergekit
  - bardsai/jaskier-7b-dpo-v5.6
  - eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
model-index:
  - name: Ogno-Monarch-Neurotic-9B-Passthrough
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 46.25
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 56.06
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 62.92
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 51.03
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 72.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 0
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AtAndDev/Ogno-Monarch-Neurotic-9B-Passthrough
          name: Open LLM Leaderboard

Ogno-Monarch-Neurotic-7B-Passthrough

Ogno-Monarch-Neurotic-7B-Passthrough is a merge of the following models using mergekit:

• bardsai/jaskier-7b-dpo-v5.6
• eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO

🧩 Configuration

slices:
  - sources:
    - model: bardsai/jaskier-7b-dpo-v5.6
      layer_range: [0, 32]
  - sources:
    - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
      layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	48.17
AI2 Reasoning Challenge (25-Shot)	46.25
HellaSwag (10-Shot)	56.06
MMLU (5-Shot)	62.92
TruthfulQA (0-shot)	51.03
Winogrande (5-shot)	72.77
GSM8k (5-shot)	0.00