README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - mlabonne/AlphaMonarch-7B
  - mlabonne/NeuralMonarch-7B
  - bardsai/jaskier-7b-dpo-v5.6
model-index:
  - name: neurotic-crown-clown-7b-ties
    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: 72.35
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          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: 88.61
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          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: 64.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          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: 76.5
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          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: 84.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          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: 71.34
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CorticalStack/neurotic-crown-clown-7b-ties
          name: Open LLM Leaderboard

neurotic-crown-clown-7B-ties

neurotic-crown-clown-7B-ties is a TRIM, ELECT SIGN & MERGE (TIES) merge of the following models using mergekit:

• mlabonne/NeuralMonarch-7B
• mlabonne/AlphaMonarch-7B
• bardsai/jaskier-7b-dpo-v5.6

See the paper TIES-Merging: Resolving Interference When Merging Models for more on the method.

🧩 Configuration

models:
  - model: mlabonne/NeuralMonarch-7B
    # no parameters necessary for base model
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: bardsai/jaskier-7b-dpo-v5.6
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mlabonne/NeuralMonarch-7B
parameters:
  normalize: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	76.38
AI2 Reasoning Challenge (25-Shot)	72.35
HellaSwag (10-Shot)	88.61
MMLU (5-Shot)	64.77
TruthfulQA (0-shot)	76.50
Winogrande (5-shot)	84.69
GSM8k (5-shot)	71.34