SFT TPU Single Host - #512
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Summary of Completed Work
\E2\80\A2 Built directly on top of peer PR feat: add sft maxtext single host on tpu #510 (origin/rl-add-maxtext-sft).
\E2\80\A2 Focused train.py on Gemma 3 4B (gemma3-4b / google/gemma-3-4b-it) by default, while supporting dynamic environment overrides. Cleaned up all emojis from logs and print statements.
\E2\80\A2 Configured Kustomize overlay in (kustomization.yaml, patch-env.yaml, patch-nodeselector.yaml, patch-resources.yaml).
\E2\80\A2 mlflow.tf: Added mlflow.tf to deploy MLflow tracking server to GKE via Terraform.
\E2\80\A2 Service Name Consistency: Unified MLflow service name to mlflow-service across manifests, Python scripts, and documentation.
\E2\80\A2 Workload Identity GCS Access: Added roles/storage.objectAdmin IAM binding in storage.tf.
\E2\80\A2 GCS gs:// Path Check: Implemented path_exists() using google.cloud.storage.Client in train.py.
\E2\80\A2 Provider Version & Docker Workdir: Upgraded Terraform Google provider to 7.6.0 in versions.tf and added WORKDIR /workspace in Dockerfile.
\E2\80\A2 Comprehensive tutorial documentation in README.md covering both automated execution and step-by-step batch job conversion/training workflows.