Petals
Collaborative tool for running large language models by distributing model parts.
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- Collaborative tool for running large language models by distributing model parts
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- Collaborative tool for running large language models by distributing model parts
Overview
An open source tool for running large language models like BLOOM-176B collaboratively. Users load a small part of the model and team up with others serving the other parts to run inference or fine-tuning.
Access & connections
Where you can use Petals.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- Collaborative running of large language models
- Distributed model loading
- Support for inference and fine-tuning
FAQ 3
What is Collaborative LLM Tool?
An open source tool for running large language models like BLOOM-176B collaboratively. Users load a small part of the model and team up with others serving the other parts to run inference or fine-tuning.
How to use Collaborative LLM Tool?
Load a small part of the large language model on your machine, then connect with others who are serving other parts of the model. Together, you can run inference or fine-tuning.
What is the purpose of this tool?
This tool allows users to collaboratively run large language models by distributing the model across multiple machines.
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Petals