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---
language:
- en
license: apache-2.0
tags:
- pytorch
- mixtral
- fine-tuned
- moe
pipeline_tag: text-generation
model-index:
- name: Mixtral-8x7B-Holodeck-v1
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: 66.55
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
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: 86.78
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
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: 71.67
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
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: 48.28
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
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: 81.22
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
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: 56.18
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=KoboldAI/Mixtral-8x7B-Holodeck-v1
name: Open LLM Leaderboard
---
# Mixtral 8x7B - Holodeck
## Model Description
Mistral 7B-Holodeck is a finetune created using Mixtral's 8x7B model.
## Training data
The training data contains around 3000 ebooks in various genres.
Most parts of the dataset have been prepended using the following text: `[Genre: <genre1>, <genre2>]`
***
### Limitations and Biases
Based on known problems with NLP technology, potential relevant factors include bias (gender, profession, race and religion).
# [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_KoboldAI__Mixtral-8x7B-Holodeck-v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |68.45|
|AI2 Reasoning Challenge (25-Shot)|66.55|
|HellaSwag (10-Shot) |86.78|
|MMLU (5-Shot) |71.67|
|TruthfulQA (0-shot) |48.28|
|Winogrande (5-shot) |81.22|
|GSM8k (5-shot) |56.18|
|