README.md

---
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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Cartinoe5930__Llama2_init_Mistral)

|             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|