nemotron-3-5-lightning-text2sql-lora
Run the Nemotron-3.5 Lightning Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on a single node: data prep, checkpoint conversion, LoRA fine-tuning of the 30B-A3B hybrid Mamba-Transformer MoE, and merging the adapter back to a Hugging Face checkpoint. Use when the user wants to run this cookbook, fine-tune Nemotron-3.5 Lightning with LoRA, or adapt the notebook to their own machine.
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Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The workflow downloads training datasets (`xu3kev/BIRD-SQL-data-train` and `meowterspace45/bird-sql-train-with-reasoning`) from Hugging Face via `load_dataset` in `dataset_bird.py` and `dataset_bird_reasoning.py`, which contain crowd-sourced / outsider-authored text that is ingested and formatted into training records.
- Repository
- NVIDIA-NeMo/Nemotron
- Commit
907d408
- Audited
- Security analysis
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