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https://github.com/harmindersinghnijjar/llama2-model-downloader

llama2-model-downloader is a Python script for effortless and flexible downloading of various Llama2 models from a provided preassigned URL.
https://github.com/harmindersinghnijjar/llama2-model-downloader

ai-models automated-downloader facebook language-model llama2 machine-learning model-downloader natural-language-processing nlp-models openai python-script

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llama2-model-downloader is a Python script for effortless and flexible downloading of various Llama2 models from a provided preassigned URL.

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# llama2-model-downloader

This is a Python-based script for **downloading Llama2 models**.

## Features

- **Streamlined:** This script enables a hassle-free process of downloading various Llama2 models. Simply provide the presigned URL and the models you wish to download, and let the script do the rest.

- **Flexible:** You can choose from a selection of model sizes, from smaller 7B models to larger, more comprehensive 70B models. You can also choose whether you want to download just the 'chat' version or all versions of each model.

- **Efficient:** The script automates the download process, fetching the necessary files (including model parameters and checklists) from the specified URL and saving them in the appropriate directories.

## Installation
This script requires Python 3 along with the `requests` and `tqdm` packages. You can install these packages using pip:
```
pip install requests tqdm
```
Simply download the script and execute it in your preferred Python environment.

## Usage
Run the script using the following command in your terminal:
```
python llama2_model_downloader.py
```
## Documentation
Additional information and instructions for using this script can be found in the script's comments.

## Code of Conduct
We encourage contributing and discussions, but please adhere to the guidelines listed in the `CODE_OF_CONDUCT.md` file to maintain a friendly and respectful environment.

## License
The Llama2-Download-Python script is licensed under the MIT license. You are free to use, modify, and distribute the code, given that you adhere to the terms presented in the LICENSE file.