tinker-cli

You can list and inspect Tinker training runs from the CLI by executing commands like 'tinker run list' to view recent runs and 'tinker run info' to retrieve specific run details, allowing you to filter and audit runs directly from the terminal.

Yes, you can download and publish LLM checkpoints to HuggingFace Hub using the terminal by utilizing Tinker CLI commands to push checkpoints directly to the HF Hub, streamlining the model publishing workflow.

Yes, you need a TINKER_API_KEY to manage training checkpoints via CLI. The environment variable must be set to authenticate your session before you can list, download, or publish checkpoints.

You automate batch fine-tuning workflows by scripting standard CLI commands for runs and checkpoints. This allows you to automate repetitive tasks like listing, downloading, and publishing models for deployment.

The best way to audit LLM fine-tuning runs without leaving the terminal is using the Tinker CLI to centralize run management. It provides commands to list, inspect, and filter runs, replacing scattered manual documentation.