---
license: apache-2.0
model-index:
- name: Mixtral-8x7B-v0.1-top3
  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: 67.41
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      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: 86.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      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: 71.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      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: 48.58
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      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: 82.4
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      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: 57.54
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=itsliupeng/Mixtral-8x7B-v0.1-top3
      name: Open LLM Leaderboard
---
## Just to obtain metrics from the `HuggingFaceH4/open_llm_leaderboard`.

To evaluate the impact of increasing the number of experts, modify the `num_experts_per_tok` setting in the `config.json` file from 2 to 3. This alteration aims to specifically determine if such a change leads to any notable improvements in performance metrics.

Other details to note include that the model weights are directly copied from the source available at https://huggingface.co/mistralai/Mixtral-8x7B-v0.1.



![image/png](https://cdn-uploads.huggingface.co/production/uploads/643fb889b9ba82afb66d6b36/heAOiPKp5XSSh-drFQ74l.png)


# [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_itsliupeng__Mixtral-8x7B-v0.1-top3)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.09|
|AI2 Reasoning Challenge (25-Shot)|67.41|
|HellaSwag (10-Shot)              |86.63|
|MMLU (5-Shot)                    |71.98|
|TruthfulQA (0-shot)              |48.58|
|Winogrande (5-shot)              |82.40|
|GSM8k (5-shot)                   |57.54|