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
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, 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 |