fix(recipes): bump Hugging Face Hub helper-job pins to 1.16.4

[MatejKosec]

Summary

Updates the Hugging Face Hub CLI pin used by Dynamo model-cache and vLLM LoRA helper jobs from 1.11.0 to 1.16.4.

Issue #10857 reports that the Qwen3-32B model-cache job fails after installing huggingface_hub==1.11.0 because the hf CLI import path is missing click. The issue reporter confirmed that huggingface_hub==1.16.4 installs the needed CLI dependencies and allows the same hf download command to run.

Scope

This change is limited to helper YAML files that install Hugging Face Hub immediately before an hf download command. It preserves the existing package spelling in each file:

• huggingface_hub==1.11.0 → huggingface_hub==1.16.4
• huggingface-hub==1.11.0 → huggingface-hub==1.16.4

No model IDs, revisions, cache paths, PVCs, image names, resource requests, awscli pins, HF token wiring, Dockerfiles, runtime code, operator code, Rust code, or Python code are changed.

Files changed

The diff contains 18 one-line YAML replacements under:

• recipes/*/model-cache/model-download*.yaml
• examples/backends/vllm/deploy/lora/**/sync-lora-job.yaml

Validation

The factory run validated the generated branch before publication:

• pre-commit run --files <18 changed YAML files> --hook-stage manual passed.
• Static inspection confirmed no huggingface[_-]hub==1.11.0 pins remain in the planned recipe/example scope.
• Static inspection confirmed every changed file retains an hf download command and that the diff consists only of exact 1.11.0 → 1.16.4 pin replacements.
• A clean temporary Python environment installed huggingface_hub==1.16.4 and imported both click and huggingface_hub.cli.hf.main successfully.

A full Kubernetes model-cache job was not run because it would require cluster/PVC/HF-token setup and large model downloads. This PR addresses the CLI dependency pin that caused the import failure.

Summary by CodeRabbit

• Chores
  • Updated the Hugging Face client dependency used by several model download and sync jobs.
  • These jobs now use a newer, consistent version across supported recipes and backends.
  • No changes were made to download behavior, job structure, or other runtime settings.

[github-actions]

👋 Hi MatejKosec! Thank you for contributing to ai-dynamo/dynamo.

Just a reminder: The NVIDIA Test Github Validation CI runs an essential subset of the testing framework to quickly catch errors.Your PR reviewers may elect to test the changes comprehensively before approving your changes.

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ℹ️ Recent review info

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📥 Commits

Reviewing files that changed from the base of the PR and between 15bdb11 and e537182.

📒 Files selected for processing (18)

• examples/backends/vllm/deploy/lora/multimodal/sync-lora-job.yaml
• examples/backends/vllm/deploy/lora/sync-lora-job.yaml
• recipes/deepseek-r1/model-cache/model-download-sglang.yaml
• recipes/deepseek-r1/model-cache/model-download.yaml
• recipes/deepseek-v32-fp4/model-cache/model-download.yaml
• recipes/deepseek-v4/deepseek-v4-flash/model-cache/model-download.yaml
• recipes/deepseek-v4/deepseek-v4-pro/model-cache/model-download.yaml
• recipes/glm-5-nvfp4/model-cache/model-download.yaml
• recipes/gpt-oss-120b/model-cache/model-download.yaml
• recipes/kimi-k2.5/model-cache/model-download.yaml
• recipes/llama-3-70b/model-cache/model-download.yaml
• recipes/nemotron-3-nano-omni/model-cache/model-download.yaml
• recipes/nemotron-3-super-fp8/model-cache/model-download.yaml
• recipes/qwen3-235b-a22b-fp8/model-cache/model-download.yaml
• recipes/qwen3-32b-fp8/model-cache/model-download.yaml
• recipes/qwen3-32b/model-cache/model-download.yaml
• recipes/qwen3-vl-30b/model-cache/model-download.yaml
• recipes/qwen3.6-35b/model-cache/model-download.yaml

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Walkthrough

The PR updates Kubernetes job startup scripts across LoRA sync and recipe model-download workflows to install huggingface-hub/huggingface_hub 1.16.4 instead of 1.11.0. The existing download commands and other job settings are unchanged.

Changes

Hugging Face client pin update

Layer / File(s)	Summary
LoRA sync jobs examples/backends/vllm/deploy/lora/multimodal/sync-lora-job.yaml, examples/backends/vllm/deploy/lora/sync-lora-job.yaml	The LoRA sync job scripts replace the pinned huggingface-hub install version with 1.16.4; awscli and the sync flow stay the same.
Model download jobs recipes/deepseek-r1/model-cache/model-download*.yaml, recipes/deepseek-v32-fp4/model-cache/model-download.yaml, recipes/deepseek-v4/deepseek-v4-*/model-cache/model-download.yaml, recipes/glm-5-nvfp4/model-cache/model-download.yaml, recipes/gpt-oss-120b/model-cache/model-download.yaml, recipes/kimi-k2.5/model-cache/model-download.yaml, recipes/llama-3-70b/model-cache/model-download.yaml, recipes/nemotron-3-nano-omni/model-cache/model-download.yaml, recipes/nemotron-3-super-fp8/model-cache/model-download.yaml, recipes/qwen3-235b-a22b-fp8/model-cache/model-download.yaml, recipes/qwen3-32b-fp8/model-cache/model-download.yaml, recipes/qwen3-32b/model-cache/model-download.yaml, recipes/qwen3-vl-30b/model-cache/model-download.yaml, recipes/qwen3.6-35b/model-cache/model-download.yaml	The recipe job scripts replace the pinned huggingface_hub install version with 1.16.4 before the existing hf download commands.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The description is informative, but it does not follow the required template and is missing the required Related Issues and reviewer-start sections.	Reformat the PR description to match the template and add the missing sections, especially Where should reviewer start? and Related Issues (for example, Closes #10857).

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly states the main change: bumping the Hugging Face Hub helper-job pins to 1.16.4.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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