Compare Zephyr changes using the same prepared dataset and matching execution settings. Analyze Finelog metrics for each processing stage to distinguish CPU efficiency, elapsed time, and peak memory changes, then report improvements, regressions, or tradeoffs.

中文简介正在准备中。当前显示英语简介。

• Compare Zephyr performance before and after a PR
• Assess speed gains against additional CPU usage
• Check peak memory and out-of-memory regressions

Register Hugging Face datasets for Marin by inspecting their structure without downloading the full dataset. Identify text fields, configurations, and data splits, then add a dataset module and validate the mapping with a sample.

中文简介正在准备中。当前显示英语简介。

• Registering a Hugging Face dataset for Marin
• Inspecting text fields without a full dataset download
• Checking configurations and data splits

Turn a specified GCP access request into a reviewable Pulumi change and pull request. Select the narrowest suitable role and encrypt personal email identities, covering resource permissions and Cloud Run viewer access through IAP, an access gateway.

中文简介正在准备中。当前显示英语简介。

• Prepare a request for GCS bucket read access
• Add a viewer to a Cloud Run service protected by IAP
• Prepare service account impersonation permissions

Add or update Pallas/Mosaic kernels, specialized computation routines for JAX. The skill covers reference implementations, output and gradient checks, public wrappers, fallback behavior, performance benchmarks, and hardware-specific tuning when requested.

中文简介正在准备中。当前显示英语简介。

• Adding a Pallas kernel for a JAX computation
• Checking outputs and gradients against a reference
• Maintaining backend selection and fallback behavior

Try model or training changes in a copied Grug or Grugformer experiment, document the differences, and bring successful changes back into the base template while removing superseded experiment code and checking behavior.

中文简介正在准备中。当前显示英语简介。

• Try changes to attention or masking
• Experiment with optimizers or training loops
• Bring successful changes into the base template

Turn a bug report, improvement request, or experiment into a structured GitHub issue. Check for duplicates, write reproduction steps or testable completion criteria, apply suitable labels, and verify the published title and body.

中文简介正在准备中。当前显示英语简介。

• File a bug with clear reproduction steps
• Create an improvement task with testable completion criteria
• Track an experiment's hypothesis, status, and conclusions