SkyRL tx
### TL;DR
SkyRL tx is an open-source library that implements a backend for the Tinker API, enabling users to set up their own Tinker-like services on personal hardware. It supports end-to-end reinforcement learning (RL) and offers significantly faster sampling. The library is designed to be modular, allowing easy prototyping of new training algorithms, environments, and execution plans without compromising usability or speed.
Key Insights & Metrics
Key Features
- Open-source implementation of the Tinker API backend
- End-to-end reinforcement learning support
- Modular design for easy prototyping
- Significantly faster sampling due to JIT compilation and batching
- Supports MultiLoRA for MoE models and attention layers
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