# SliceX AI™ ELM (Efficient Language Models)
This repository contains code to run our ELM models.

Models are located in the "models" folder. ELM models in this repository comes in three sizes (elm-1.0, elm-0.75 and elm-0.25) and supports the following use-cases.
- news_classification
- toxicity_detection
- news_content_generation
- news_summarization

## Download ELM repo with model files
```bash
sudo apt-get intall git-lfs 
git lfs install
git clone <library_path>
```
(Optional) Installing git-lfs without sudo,
```bash
wget https://github.com/git-lfs/git-lfs/releases/download/v3.2.0/git-lfs-linux-amd64-v3.2.0.tar.gz
tar -xzf git-lfs-linux-amd64-v3.2.0.tar.gz
PATH=$PATH:/<absolute-path>/git-lfs-3.2.0/
git lfs install
```
 

## (Optional) Setup docker
```bash
docker run --gpus all -it --shm-size=8g --name elm_inference --ulimit memlock=-1 --rm -v <elm_code_path>:/elm_code  nvcr.io/nvidia/pytorch:23.09-py3
```

## Installation
```bash
cd <elm_code>
pip install -r requirements.txt
```

## How to use - Run ELM on a sample task (e.g., news classification)
```bash
python run.py <elm-model-directory>
E.g. python run.py models/elm-0.75_news_classification
``` 
Prompts for the specific tasks can be found in the corresponding checkpoint directory. See an example below in the form of `models/elm-0.75_news_classification/example_prompts.json`.
```json
{
    "inputs": ["GM May Close Plant in Europe  DETROIT (Reuters) - General Motors Corp. &lt;A HREF=\"http://www.investor.reuters.com/FullQuote.aspx?ticker=GM.N target=/stocks/quickinfo/fullquote\"&gt;GM.N&lt;/A&gt; will likely  cut some jobs in Europe and may close a plant there as part of  a restructuring plan under development to try to return the  region to profitability, the U.S. automaker said on Wednesday."],
    "template": "[INST]Below is a news article. Please classify it under one of the following classes (World, Business, Sports, Sci/Tech). Please format your response as a JSON payload.\n\n### Article: {input}\n\n### JSON Response:[/INST]"
}
```

Running the above command returns the following response

```json
{
    "prompt": "[INST]Below is a news article. Please classify it under one of the following classes (World, Business, Sports, Sci/Tech). Please format your response as a JSON payload.\n\n### Article: GM May Close Plant in Europe  DETROIT (Reuters) - General Motors Corp. &lt;A HREF=\"http://www.investor.reuters.com/FullQuote.aspx?ticker=GM.N target=/stocks/quickinfo/fullquote\"&gt;GM.N&lt;/A&gt; will likely  cut some jobs in Europe and may close a plant there as part of  a restructuring plan under development to try to return the  region to profitability, the U.S. automaker said on Wednesday.\n\n### JSON Response:[/INST]",
    "response": "{'text_label': 'Business'}"
}
```