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---
language:
- en
- ko
license: cc-by-sa-4.0
tags:
- not-for-all-audiences
datasets:
- maywell/ko_wikidata_QA
- kyujinpy/OpenOrca-KO
- Anthropic/hh-rlhf
pipeline_tag: text-generation
model-index:
- name: PiVoT-0.1-Evil-a
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: 59.64
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
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: 81.48
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
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: 58.94
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
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: 39.23
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
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: 75.3
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
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: 40.41
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maywell/PiVoT-0.1-Evil-a
name: Open LLM Leaderboard
---
# PiVoT-0.1-early
# **Model Details**
### Description
PivoT is Finetuned model based on Mistral 7B. It is variation from Synatra v0.3 RP which has shown decent performance.
PiVoT-0.1-Evil-**a** is an **Evil tuned** Version of PiVoT. It finetuned by method below.
PiVot-0.1-Evil-**b** has Noisy Embedding tuned. It would have more variety in results.
<!-- prompt-template start -->
## Prompt template: Alpaca-InstructOnly2
```
### Instruction:
{prompt}
### Response:
```
<!-- prompt-template end -->
### Disclaimer
The AI model provided herein is intended for experimental purposes only. The creator of this model makes no representations or warranties of any kind, either express or implied, as to the model's accuracy, reliability, or suitability for any particular purpose. The creator shall not be held liable for any outcomes, decisions, or actions taken on the basis of the information generated by this model. Users of this model assume full responsibility for any consequences resulting from its use.
OpenOrca Dataset used when finetune PiVoT variation. Arcalive Ai Chat Chan log 7k, [ko_wikidata_QA](https://huggingface.co/datasets/maywell/ko_wikidata_QA), [kyujinpy/OpenOrca-KO](https://huggingface.co/datasets/kyujinpy/OpenOrca-KO) and other datasets used on base model.
Follow me on twitter: https://twitter.com/stablefluffy
Consider Support me making these model alone: https://www.buymeacoffee.com/mwell or with Runpod Credit Gift 💕
Contact me on Telegram: https://t.me/AlzarTakkarsen
# [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_maywell__PiVoT-0.1-Evil-a)
| Metric |Value|
|---------------------------------|----:|
|Avg. |59.16|
|AI2 Reasoning Challenge (25-Shot)|59.64|
|HellaSwag (10-Shot) |81.48|
|MMLU (5-Shot) |58.94|
|TruthfulQA (0-shot) |39.23|
|Winogrande (5-shot) |75.30|
|GSM8k (5-shot) |40.41|
|