---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
model-index:
- name: Mixtral-8x7B-MoE-RP-Story
  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: 51.54
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      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: 70.0
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      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: 43.04
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      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: 41.53
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      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: 67.32
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      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: 9.93
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Undi95/Mixtral-8x7B-MoE-RP-Story
      name: Open LLM Leaderboard
---

Mixtral-8x7B-MoE-RP-Story is a model made primarely for chatting, RP (Roleplay) and storywriting.
2 RP model, 2 chat model, 1 occult model, 1 storywritting model, 1 mathematic model and 1 DPO model was used for a MoE. Bagel was the base.

The DPO chat model is here to help get more human reply.

This is my first try at doing this, so don't hesitate to give feedback!

WARNING: ALL THE "K" GGUF QUANT OF MIXTRAL MODELS SEEMS TO BE [BROKEN](https://cdn-uploads.huggingface.co/production/uploads/63ab1241ad514ca8d1430003/TvjEP14ps7ZUgJ-0-mhIX.png), PREFER Q4_0, Q5_0 or Q8_0!

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## Description

This repo contains fp16 files of Mixtral-8x7B-MoE-RP-Story.

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## Models used

The list of model used and their activator/theme can be found [here](https://huggingface.co./Undi95/Mixtral-8x7B-MoE-RP-Story/blob/main/config.yaml)

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<!-- prompt-template start -->
## Prompt template: Custom

Using Bagel as a base let us a lot of different prompting system theorically, you can see all the prompting available [here](https://huggingface.co./jondurbin/bagel-7b-v0.1#prompt-formatting).

If you want to support me, you can [here](https://ko-fi.com/undiai).
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_Undi95__Mixtral-8x7B-MoE-RP-Story)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |47.23|
|AI2 Reasoning Challenge (25-Shot)|51.54|
|HellaSwag (10-Shot)              |70.00|
|MMLU (5-Shot)                    |43.04|
|TruthfulQA (0-shot)              |41.53|
|Winogrande (5-shot)              |67.32|
|GSM8k (5-shot)                   | 9.93|