The vllm
package is a Python library for interacting with versatile large language models (vLLMs). It simplifies the process of utilizing advanced language models for various natural language processing tasks such as text generation, translation, summarization, and more.
- Easy access to versatile large language models.
- Supports various tasks like text generation, summarization, translation, etc.
- Customizable model parameters for different use cases.
- Simple and intuitive interface.
Install vllm
using pip:
pip install vllm
Here's a quick start example on how to use the vllm
package for text generation:
from vllm import VLLM
def generate_text(prompt, model_name='vllm-large', max_length=50):
model = VLLM(model_name=model_name)
return model.generate(prompt, max_length=max_length)
# Example usage
prompt = "The mysterious caves of Mars have always intrigued scientists because"
print(generate_text(prompt))
For more detailed documentation, visit vLLM Documentation
Contributions to the vllm
package are welcome. Please read our contributing guidelines before submitting your pull request.
vllm
is licensed under the MIT License.
For support and queries, please open an issue on our GitHub issue tracker.
I am not the author of the vLLM python package.