Mars-LM

Mars-LM is an open-source large language model framework designed for distributed training and inference of AI models. It enables efficient handling of massive datasets and supports tensor-based computations for deep learning and NLP tasks.

Features of Mars-LM:

• Supports scalable and distributed model training across multiple nodes.
• Optimized for tensor-based computations for high-performance AI applications.
• Provides Python APIs for easy integration with NLP and machine learning pipelines.
• Includes serialization and distributed computing utilities for handling large-scale datasets.
• Compatible with GPU acceleration for faster training and inference.

Mars-LM Usage :

$ sudo su
$ cd /opt/mars-lm
$ source venv310/bin/activate
$ python
Inside shell:
>>> import mars
>>> print("Mars imported OK")

Disclaimer: Mars-LM is an open-source research framework. It is provided “as is,” without any warranty. Users are responsible for proper setup, dataset usage, and adherence to licensing terms.