---
model-index:
- name: orthogonal-2x7B-v2-base
  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: 66.89
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      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: 85.69
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      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: 62.65
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      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: 66.8
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      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: 77.35
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      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: 51.4
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=LoSboccacc/orthogonal-2x7B-v2-base
      name: Open LLM Leaderboard
---
base_model: mistralai/Mistral-7B-Instruct-v0.2
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
  - source_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
    positive_prompts:
        - "roleplay"
  - source_model: mistralai/Mistral-7B-Instruct-v0.2
    positive_prompts:
        - "chat"
---
chatml
# [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_LoSboccacc__orthogonal-2x7B-v2-base)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |68.47|
|AI2 Reasoning Challenge (25-Shot)|66.89|
|HellaSwag (10-Shot)              |85.69|
|MMLU (5-Shot)                    |62.65|
|TruthfulQA (0-shot)              |66.80|
|Winogrande (5-shot)              |77.35|
|GSM8k (5-shot)                   |51.40|