---
base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- bias-detection
- logical-fallacy
- critical-thinking
- rationality
- unsloth
language:
- en
---

# Model Card for Model ID

This is a fine-tuned model specifically dedicated to the identification of sophism and cognitive bias
His performance for now is 85%-100% in detecting sophism , and 85%-100% for detectiong cognitive bias

It was trained with a custom dataset of 14k lines

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Arthur Vigier
  - **Model type:** Qlora
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Finetuned from model :** mistral-7b-instruct-v0.3-bnb-4bit

## Uses

It is dedicated to be used by anyone that want to judge public discourse based on the fundational basis of there language and the solidity 
of it. Using for education and increasing critical thinking is also a good way to use this tool

### API

PUBLIC API COMING SOON 

### Performance chart

### Sophism
[<img src="https://imgur.com/Vby0Ocq.png" width="500"/>]
### Cognitive Bias
[<img src="https://imgur.com/RbGxSyN.png" width="500"/>]

### Direct Use

from transformers import pipeline

messages = [
    {"role": "user", "content": "All birds can fly. Penguins are birds. Therefore, penguins can fly"},
]
pipe = pipeline("text-generation", model="Artvv/rationality-debugger-v1.0")
pipe(messages)
### Out-of-Scope Use

It is not intended to harass anyone or being rude

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

He is very efficient to the most common sophism and cognitive bias but for some more niche like bias frequency illusion he can be less efficient.
He is mainly dedicated to detect sophism and cognitive bias , he can detect valid reasoning but it is not his main purpose

## Model Card Contact

mail : arvigier@gmail.com


### Framework versions

- PEFT 0.14.0

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)