GoogleCloudPlatform / GoogleCloudPlatform/ml-auto-solutions
[DagRunListener] maxtext_end_to_end maxtext-stable-llama2-70b-v5p-128 failed
- Dominant language
- Python
- Stars
- 64
- Forks
- 68
- Avg merge
- 8h 35m
- Merged PRs (30d)
- 27
Description
- **Run ID**: scheduled__2025-08-03T04:00:00+00:00
- **Execution Date**: 2025-08-03 04:00:00+00:00
- **Failed Task**: [maxtext-stable-llama2-70b-v5p-128.run_model.wait_for_workload_completion](https://efdb2a1d6c2c435b8b7de77690c286a9-dot-us-central1.composer.googleusercontent.com/dags/maxtext_end_to_end/grid?dag_run_id=scheduled__2025-08-03T04%3A00%3A00%2B00%3A00&task_id=maxtext-stable-llama2-70b-v5p-128.run_model.wait_for_workload_completion&tab=logs)
Contributor guide
Research direction
Start with the linked Composer DAG run and the failed maxtext_end_to_end task, maxtext-stable-llama2-70b-v5p-128.run_model.wait_for_workload_completion; inspect its logs to determine why the workload did not complete. Done means identifying and addressing the cause of this scheduled run failure, with a successful workload completion confirming the result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100