fix(checkpoint): write consolidated safetensors without append

[huahuajhu]

What does this PR do ?

Fixes consolidated HF safetensors export to write each output shard in a single wb pass instead of writing metadata first and reopening the file in append mode.

Changelog

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Additional Information

• Related to Closes staging-free consolidation for databricks #1092.

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Pull request overview

This PR updates the HuggingFace safetensors consolidation path to avoid reopening output shards in append mode by writing the safetensors header and payload in a single wb stream, improving compatibility with filesystems that do not support append.

Changes:

• Refactors safetensors consolidation to compute header metadata/offsets and write header+tensor bytes in one wb pass per output shard (no ab reopen).
• Changes HF storage writer consolidation to only use staging when staging_dir is explicitly provided (direct consolidation by default).
• Updates unit tests and Databricks guide examples to reflect staging being optional.

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
tests/unit_tests/checkpoint/test_consolidate_safetensors.py	Adds regression tests for “no append-mode opens” and verifies direct consolidation defaults.
nemo_automodel/components/checkpoint/config.py	Clarifies staging_dir semantics in the checkpointing config comments.
nemo_automodel/components/checkpoint/_backports/hf_storage.py	Makes staging opt-in based on staging_dir presence for consolidation.
nemo_automodel/components/checkpoint/_backports/consolidate_hf_safetensors.py	Implements single-stream (wb) header+payload writing and removes append-mode usage.
docs/guides/llm/databricks.mdx	Removes staging_dir from example invocations and describes it as optional for consolidation.

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[akoumpa]

Hi @huahuajhu , thank you for making this!

Since we don't have databricks on our CI, i want to ask you if you have tested this on databricks and what's the difference in perf (before and after). I'll try to find someone to review, but that will be next week probably.

Thank you.

[huahuajhu]

Thanks for the question. I tested the checkpoint consolidation path on Databricks using a Unity Catalog volume, since that is the filesystem behavior this PR changes.

Test environment:

• Databricks workspace with Unity Catalog enabled
• Catalogs available: samples, system, workspace
• Test volume path: /Volumes/workspace/automodel_pr2627/checkpoints/automodel-pr2627
• Created:
  • schema: workspace.automodel_pr2627
  • volume: workspace.automodel_pr2627.checkpoints
• Verified the volume path exists from Python.

Test scope:

• This was a CPU-only Databricks UC-volume smoke test for the safetensors consolidation writer.
• It directly exercises consolidate_safetensors_files(..., use_staging=False) on a UC volume.
• It does not measure end-to-end GPU training throughput yet.

Before:

• Code: NVIDIA-NeMo/Automodel@main
• Resolved commit: 83e4aad1ed49068c22f8ce527742e727215c0323
• Test: write sharded safetensors input, then consolidate to the UC volume with use_staging=False
• Result: failed
• Error:

  OSError: [Errno 29] Illegal seek
  
  
  

Failure occurred inside:

nemo_automodel/components/checkpoint/_backports/consolidate_hf_safetensors.py
consolidate_safetensors_files(...)
_consolidate_safetensors_files(...)
_write_data(...)

After:
Code: this PR branch
Resolved commit: c2158e7
Same UC volume path and same input tensors
Test wrote:

/Volumes/workspace/automodel_pr2627/checkpoints/automodel-pr2627/cpu_smoke_output/model-00001-of-00001.safetensors
/Volumes/workspace/automodel_pr2627/checkpoints/automodel-pr2627/cpu_smoke_output/model.safetensors.index.json