alpamayo1-5-sft

alpamayo1-5-sft is a Fine-tuning & training data skill for AI agents, published by NVlabs in the alpamayo-recipes repository on GitHub. Skillspace rates alpamayo1-5-sft F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

Run end-to-end supervised fine-tuning (SFT) of the Alpamayo-1.5 VLM action model on PAI (with navigation conditioning) or LingoQA (for visual question answering). The agent collects a small set of choices from the user up front (Stage-1 task — nav / vqa / default trajectory, W&B preference, dataset and checkpoint paths, which stage(s) to run), then drives the whole pipeline. Use when an agent must convert the released `nvidia/Alpamayo-1.5-10B` checkpoint into A1-format with `convert_checkpoint.py to-a1`, prepare PAI + nav annotations or LingoQA Scenery, run Stage-1 VLM SFT on the chosen task, optionally continue into Stage-2 trajectory-diffusion-expert training (for trajectory tasks), and evaluate; when setting up the `a1_5_sft` uv venv from scratch; when overriding Hydra config (`vla_processor` variant, `chunk_ids`, learning rate, DeepSpeed); when diagnosing common SFT failures (flash-attn dtype warnings, wandb 403, DeepSpeed grad-accum mismatch, `use_cache` checkpointing warnings,…

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

76

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