What is Petals?
The Petal tool is a decentralized platform that runs a large language model like Bloom-176b. It is capable of loading small parts of the model to run inference and fine-tuning. Single-batch inference takes approximately 1 second per step (token) and can run parallel inference up to hundreds of tokens/sec. This tool offers more than just a classic language model API, using fine-tune sampling methods and allowing users to execute custom paths and see hidden states. Petal also offers flexible PyTorch API. It is part of the BigScience research workshop project.
â Petals key features & benefits
Petals offers a variety of features and benefits that make it a top choice for various users. These are some of the key features:
- âī¸ Decentralized platform.
- âī¸ Large language model like bloom-176b.
- âī¸ Single-batch inference.
- âī¸ Fine-tuning.
- âī¸ Flexible pytorch api.
âī¸ Petals use cases and applications
- Natural language processing.
- Text generation.
- Sentiment analysis.
đââī¸ Who uses Petals?
Petals is used by and benefiting different user groups including but not limited to some of the following users:
âšī¸ Find more & support
Petals provides an API that developers can use for programmatic access which makes it easy to integrate it with other tools or within your own applications.
You can also find more information, get support and follow Petals updates on the following channels:
- Petals Website (Login/Sign up)
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