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Adding Evaluation Results
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metadata
license: apache-2.0
datasets:
  - Open-Orca/SlimOrca
base_model: mistralai/Mixtral-8x7B-v0.1
pipeline_tag: text-generation
model-index:
  - name: Mixtral-SlimOrca-8x7B
    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: 67.66
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          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: 85.11
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          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: 67.98
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          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: 54.98
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          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: 80.51
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          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: 45.56
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Open-Orca/Mixtral-SlimOrca-8x7B
          name: Open LLM Leaderboard

SlimOrca Mixtral 8x7B

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Official release of the SlimOrca Mixtral finetune. More details to come.

Model Details

Model Description

  • Developed by: OpenAccess AI Collective and OpenOrca
  • Finetuned from model [optional]: mistralai/Mixtral-8x7B-v0.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 66.97
AI2 Reasoning Challenge (25-Shot) 67.66
HellaSwag (10-Shot) 85.11
MMLU (5-Shot) 67.98
TruthfulQA (0-shot) 54.98
Winogrande (5-shot) 80.51
GSM8k (5-shot) 45.56