NVIDIA AI Platform · NVIDIA/Megatron-LM

Walks an agent through working inside the Megatron-LM CI container and changing dependencies with uv, so lock files resolve the same locally and in CI.

NVIDIA/Megatron-LM

Moves Megatron-LM CI to a newer NVIDIA PyTorch base image, updating both the GitHub and GitLab pins together and handling the CI follow-up.

NVIDIA/Megatron-LM

Investigates a failing GitHub Actions run or job for Megatron-LM, finds the root cause plus the PR and test author involved, and files a structured bug issue.

NVIDIA/Megatron-LM

Guides moving Megatron Core GPTModel checkpoints, configs, training commands and launch scripts to HybridModel, following the repository's migration document.

NVIDIA/Megatron-LM

Creates one-node GitHub merge-request variants of existing two-node GB200 functional tests in Megatron-LM, adjusting parallelism settings to fit four GPUs.

NVIDIA/Megatron-LM

Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.

NVIDIA/Megatron-LM

Runs the Megatron-LM autoformat script and its linting tools before a pull request, and keeps Python imports in order with isort.

NVIDIA/Megatron-LM

Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.

NVIDIA/Megatron-LM

Research and draft a response to a GitHub issue or question from an external contributor.

NVIDIA/Megatron-LM

Review rubric for the /review pull-request command. An agent skill from NVIDIA/Megatron-LM.

NVIDIA/Megatron-LM