README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- moe
- moerge
model-index:
- name: multimaster-7b-v2
  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: 70.48
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      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: 87.59
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      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: 65.09
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      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: 60.63
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      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: 84.29
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      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: 71.87
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v2
      name: Open LLM Leaderboard
---

# Model Card for MultiMaster 5x7B

![img](./multimaster.png)

Version 2 of a general purpose model for knowledge.



## Model Details

### Model Description



This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** [ibivibiv](https://huggingface.co./ibivibiv)
- **Funded by:** [ibivibiv](https://huggingface.co./ibivibiv)
- **Shared by:** [ibivibiv](https://huggingface.co./ibivibiv)
- **Model type:** Mixtral
- **Language(s) (NLP):** English
- **License:** Apache 2

## Uses

General Knowledge

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->



## Evaluation

Coming Soon


# [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_ibivibiv__multimaster-7b-v2)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.33|
|AI2 Reasoning Challenge (25-Shot)|70.48|
|HellaSwag (10-Shot)              |87.59|
|MMLU (5-Shot)                    |65.09|
|TruthfulQA (0-shot)              |60.63|
|Winogrande (5-shot)              |84.29|
|GSM8k (5-shot)                   |71.87|