Unified API for training and inference
Project description
SkyRL tx: Unified API for training and inference
⚠️ The project is currently very early with lots of missing features (e.g. currently LoRA is only supported for the MLP layer, pure inference is not supported, model sharding is in a very early state). Many of these are easy to implement and we welcome contributions! ⚠️
SkyRL tx is an open-source cross-platform library that allows users to set up their own service exposing a Tinker like REST API for neural network forward and backward passes. It unifies inference and training into a single, common API, abstracting away the infrastructure challenges of managing GPUs.
The t in tx stands for transformers, training, or tinker, and the x
stands for "cross-platform".
Getting Started
See the SkyRL tx blog post for a quickstart example.
Project Status
This is a very early release of SkyRL tx. While the project is functional end-to-end, there is still a lot of work to be done. We are sharing it with the community to invite feedback, testing, and contributions.
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