# Finetuning llama 2 on our celebrity news dataset located [here](https://huggingface.co/datasets/2nji/makebelieve-480)

Disclaimer: This is still work in progress as we need to preprocess our celebrity news dataset to match Llama 2's prompt format as described [here](https://huggingface.co/blog/llama2#how-to-prompt-llama-2)

## Reserve GPU on g5k

Log into your Grid5000 account using ssh and run the following code in the terminal

```script
oarsub -p "cluster='graffiti'" -l gpu=1 -I -q production
```

Wait till GPUs are available and assigned to you, if you need more information about g5k, you can refer to [here](https://www.grid5000.fr/w/Getting_Started)

### Create a virtual environment

- Installing PIP

```script
pip install virtualenv
```

- Creating environment

```script
virtualenv venv
```

- Activating environment

```script
source venv/bin/activate
```

## Install requirements file

```script
pip install -r requirements.txt
```

## Running the script to finetune Llama-2-7b-chat-hf and push to huggingface model repository

```script
python makebelieve.py
```

{"license": "apache-2.0"}
transformers pytorch llama text-generation license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us