README.md

metadata

language:
  - en
license: cc-by-nc-4.0
datasets:
  - Open-Orca/OpenOrca
model-index:
  - name: Luban-Marcoroni-13B
    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: 63.65
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          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: 82.92
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          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: 58.7
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          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: 55.55
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          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: 77.03
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          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: 10.01
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Luban-Marcoroni-13B
          name: Open LLM Leaderboard

Merge of Marcoroni-13B and Luban-13B using ties merge.

Weights

• Marcoroni-13B: 0.5

• Luban-13B: 0.3

Density

• Marcoroni-13B: 0.5

• Luban-13B: 0.5

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	51.16
ARC (25-shot)	63.65
HellaSwag (10-shot)	82.92
MMLU (5-shot)	58.7
TruthfulQA (0-shot)	55.55
Winogrande (5-shot)	77.03
GSM8K (5-shot)	10.01
DROP (3-shot)	10.25

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	57.98
AI2 Reasoning Challenge (25-Shot)	63.65
HellaSwag (10-Shot)	82.92
MMLU (5-Shot)	58.70
TruthfulQA (0-shot)	55.55
Winogrande (5-shot)	77.03
GSM8k (5-shot)	10.01