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@molbap molbap commented Oct 22, 2025

What does this PR do?

As per title. Architecturally: Llava-next used as skeleton with a modified SamModel and a modified ClipVisionModel, keeping the deepseekV2 decoder untouched (using AutoModel) and changing using config only.

  • Working config + random weights init
  • Modular draft with subconfigs (two vision configs)
  • Conversion from original checkpoint done
  • Modular model finished
  • Integration tests/OCR tests working as in original codebase
  • Make modular slimmer
  • Make processor faster
  • Complete test suite for transformers

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[For maintainers] Suggested jobs to run (before merge)

run-slow: auto

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