README.md

metadata

license: apache-2.0
model-index:
  - name: Llama2_init_Mistral
    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: 60.07
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          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: 83.3
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          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: 64.09
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          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: 42.15
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          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: 78.37
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          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: 37.91
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Cartinoe5930/Llama2_init_Mistral
          name: Open LLM Leaderboard

Base Model - SOLAR-10.7B

This model is the base model implementation of SOLAR-10.7B. The architecture of base model is Llama2 architecture and initialized with weights of Mistral.

Please check specific details in the GitHub Repository.

GitHub Repository: https://github.com/gauss5930/iDUS

🏆 HuggingFace Open LLM Leaderboard

Model	ARC	HellaSwag	MMLU	TruthfulQA	Winogrande	GSM8K	Average
Llama2_init_Mistral	60.07	83.3	64.09	42.15	78.37	37.91	60.98

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	60.98
AI2 Reasoning Challenge (25-Shot)	60.07
HellaSwag (10-Shot)	83.30
MMLU (5-Shot)	64.09
TruthfulQA (0-shot)	42.15
Winogrande (5-shot)	78.37
GSM8k (5-shot)	37.91