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import os | |
import requests | |
from tqdm import tqdm | |
def download_file(url, filename): | |
response = requests.get(url, stream=True) | |
total_size = int(response.headers.get('content-length', 0)) | |
with open(filename, 'wb') as file, tqdm( | |
desc=filename, | |
total=total_size, | |
unit='iB', | |
unit_scale=True, | |
unit_divisor=1024, | |
) as pbar: | |
for data in response.iter_content(chunk_size=1024): | |
size = file.write(data) | |
pbar.update(size) | |
def main(): | |
# Create models directory if it doesn't exist | |
if not os.path.exists('models'): | |
os.makedirs('models') | |
# Model URL (using a smaller model for faster download) | |
model_url = "https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/resolve/main/llama-2-7b-chat.Q4_K_M.gguf" | |
model_path = "models/llama-2-7b-chat.gguf" | |
print("Starting model download...") | |
print("This may take a while depending on your internet connection.") | |
print("The model is about 4GB in size.") | |
try: | |
download_file(model_url, model_path) | |
print("\nModel downloaded successfully!") | |
print(f"Model saved to: {model_path}") | |
except Exception as e: | |
print(f"Error downloading model: {str(e)}") | |
print("Please try downloading manually from: https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF") | |
print("And place the model file in the 'models' directory.") | |
if __name__ == "__main__": | |
main() |