EvolvingLMMs-LabEvolvingLMMs-LabOfficialΒ·8 Agent Skills Included

LLaVA-OneVision-2

Train and validate open multimodal AI models end to end

Automates the full training pipeline for the LLaVA-OneVision-2 open multimodal model covering images, long video, and spatial reasoning. Handles data packing, checkpoint conversion between HuggingFace and Megatron, and multi-GPU consistency validation without manual scripting. Helps engineers reproduce, merge, and verify large vision-language models faster with fewer silent errors.
npx skills add EvolvingLMMs-Lab/LLaVA-OneVision-2 --all -g -y

All Skills in This Repository (8)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install LLaVA-OneVision-2?β–Ό

Run `npx skills add EvolvingLMMs-Lab/LLaVA-OneVision-2 --all -g -y` in your terminal to install all skills in this suite globally.

What does LLaVA-OneVision-2 do?β–Ό

It is a fully open 8B multimodal model that understands images, long videos, and 3D spatial scenes in one architecture, with all training code, data, and checkpoints released.

How do I convert checkpoints between HuggingFace and Megatron?β–Ό

The included skills guide your AI agent through HF-to-Megatron conversion, TP/PP re-sharding, and round-trip validation that is verified bitwise identical.

How do I pack training data for multi-GPU runs?β–Ό

The distributed offline packing skill walks the agent through splitting JSONL data, packing it into WebDataset shards across nodes, and assembling the final training dataset.

Do I need deep ML infrastructure experience to use these skills?β–Ό

No. The skills give your AI agent step-by-step commands, pitfall warnings, and validation checklists so it can execute the workflows from plain-English requests.

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