Sina-Odin-7b-Merge / README.md
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Adding Evaluation Results (#1)
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metadata
license: cc-by-4.0
tags:
  - mistral
  - merge
pipeline_tag: text-generation
model-index:
  - name: Sina-Odin-7b-Merge
    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: 52.82
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          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: 68.86
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          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: 45.54
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          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: 39.2
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          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: 72.22
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          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: 8.26
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/Sina-Odin-7b-Merge
          name: Open LLM Leaderboard

Model Card for Sina-Odin-7b-Merge

Part of a series of experimental DARE merges.

.yaml file for mergekit

models:
  - model: Mihaiii/Metis-0.3
    # no parameters necessary for base model
  - model: rishiraj/smol-7b #75
    parameters:
      weight: 0.2
      density: 0.41
  - model: SanjiWatsuki/openchat-3.5-1210-starling-slerp #125
    parameters:
      weight: 0.33
      density: 0.54
  - model: Azazelle/Dumb-Maidlet #200
    parameters:
      weight: 0.53
      density: 0.71
merge_method: dare_ties
base_model: Mihaiii/Metis-0.3
parameters:
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 47.82
AI2 Reasoning Challenge (25-Shot) 52.82
HellaSwag (10-Shot) 68.86
MMLU (5-Shot) 45.54
TruthfulQA (0-shot) 39.20
Winogrande (5-shot) 72.22
GSM8k (5-shot) 8.26