What
This is an open source tool that allows for collaborative use of large language models such as BLOOM-176B. Users can load a portion of the model and work together with others who are serving other parts of the model to perform inference or fine-tuning.
Who
This is suitable for developers and researchers working with large language models like BLOOM-176B who need to collaborate with others to run inference or fine-tuning.
How
– Collaborative language model training: The open-source tool can be used to train large language models collaboratively with a team of people.
– Fine-tuning: The tool can be used for fine-tuning the BLOOM-176B model by loading a small part of the model and then teaming up with others to serve the other parts.
– Distributed inference: The tool can be used for distributed inference of large language models by dividing the model into smaller parts and assigning them to different team members.
– Research: The tool can be used for research purposes, such as experimenting with different training techniques and hyperparameters to improve the performance of large language models.
– Education: The tool can be used for educational purposes, such as teaching students how to train and fine-tune large language models collaboratively.
