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metadata
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/HuggingFaceH4/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
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/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/HuggingFaceH4/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/HuggingFaceH4/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/HuggingFaceH4/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/HuggingFaceH4/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, PREFER Q4_0, Q5_0 or Q8_0!

Description

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

Models used

The list of model used and their activator/theme can be found here

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.

If you want to support me, you can here.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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