alpamayo1-x-rl

alpamayo1-x-rl is a Fine-tuning & training data skill for AI agents, published by NVlabs in the alpamayo-recipes repository on GitHub. Skillspace rates alpamayo1-x-rl 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 open-loop RL post-training of the Alpamayo VLM action model (Alpamayo 1 or 1.5) on the Physical AI AV (PAI) dataset using Cosmos-RL + GRPO. The agent collects a small set of choices from the user up front (Alpamayo version, reward mode — motion-only vs joint reasoning+motion, W&B preference, single-node vs multi-node, dataset/checkpoint paths), then drives the whole pipeline. Use when an agent must convert a released Alpamayo checkpoint into a training-ready one, curate a PAI mini subset, launch policy + rollout replicas via `cosmos-rl`, and export the resulting policy checkpoint back to a HuggingFace directory; when setting up the `a1x_rl` uv venv from scratch; when overriding TOML config (parallelism, replicas, reward weights, prefetch, optimizer); when diagnosing common RL failures (rollout-too-fast buffer growth, weight sync lag, prefetch misconfiguration, vLLM OOM, GRPO group collapse). Trigger keywords: alpamayo, alpamayo-1, alpamayo-1.5, alpamayo1, alpamayo1_5,…

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

76

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