tinker

What problem does it solve?

This Skill streamlines the process of running and managing large language model (LLM) post-training tasks, such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Proximal Policy Optimization (PPO), by leveraging the Tinker compute backend.

Core Features & Use Cases

• LLM Training Orchestration: Manages the lifecycle of SFT, DPO, and PPO training runs.
• Checkpoint Management: Supports checkpointing, sampling, and resuming long-running jobs.
• Remote GPU Execution: Enables CPU-side orchestration with remote GPU execution via Tinker.
• Use Case: Prepare and launch a DPO training run for a new chatbot model, ensuring regular checkpointing and the ability to resume if interrupted.

Quick Start

Use the tinker skill to validate the configuration for an SFT training run.