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By EvolvingLMMs-Lab

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1

Guide for writing clear, consistent git commit messages following this repository's conventions

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~1.9kAutomated safety check: PassApache-2.0today
2

Bilingual guide for understanding how culengths controls attention behavior across ViT and LLM stages, and how patchpositions scope differs between the two

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~3.1kAutomated safety check: PassApache-2.0today
3

Bilingual guide for running offlinepacking/autopipe.sh across multiple nodes to produce padding-free packed WebDataset shards for SFT, with Energon Metadataset assembly

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~2.6kAutomated safety check: PassApache-2.0today
4

Bilingual guide for understanding LengthPoolSortDataset cross-rank length synchronization mechanism in multi-GPU training

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~2kAutomated safety check: PassApache-2.0today
5

Bilingual guide for running and interpreting LLaVA-OneVision2 HF vs Megatron consistency checks across TP and PP settings

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~4.1kAutomated safety check: PassApache-2.0today
6

Bilingual guide for the OFFLINEPACKINGBMR and OFFLINEPACKEDDATA environment variables that control LLaVA-OneVision2 training-side packing — what each gate does, why both must be enabled together…

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~3.9kAutomated safety check: PassApache-2.0today
7

Bilingual guide for merging ViT + LLM into LlavaOnevision2 HF checkpoint and validating weight/inference consistency

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~7.6kAutomated safety check: PassApache-2.0today
8

Bilingual guidance for Megatron checkpoint 1D 2D 3D mprank layouts across tensor pipeline and expert parallel dimensions

EvolvingLMMs-Lab/LLaVA-OneVision-21.2k—~1kAutomated safety check: PassApache-2.0today