---
library_name: transformers
license: apache-2.0
language:
- en
tags:
- causal-lm
- Large Language Model
- LLM
- detoxification
- unbias
- bias
- instruction
- finetuned
- llama2
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model is an instruction-tuned version of meta-llama/Llama-2-7b-hf.

We construct a comprehensive instruction dataset for detoxification of LLMs, and fine-tuned this model.



## Model Details

### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]

### Model Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

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```python
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SungJoo/llama2-7b-sft-detox")
model = AutoModelForCausalLM.from_pretrained("SungJoo/llama2-7b-sft-detox")


### Out-of-Scope Use

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[More Information Needed]

## Bias, Risks, and Limitations

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[More Information Needed]

### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

## Training Details

### Training Data

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### Training Procedure

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->


## Model Card Contact

byunsj@snu.ac.kr