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[Model][SM70] Accept DFlash embed replica across split load_weights c… - #651

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@ProprietaryLegal ProprietaryLegal commented Sep 17, 2026

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…alls

AutoWeightsLoader groups consecutive tensors by top-level prefix, so a checkpoint whose shard order interleaves model.language_model.* with lm_head/model.visual.* (the 33-shard nvidia/GLM-5.3-Flash-NVFP4 layout) calls Glm5NextModel.load_weights more than once on the final pipeline stage. The DFlash target-embedding replica check assumed a single call and raised on the group without embed_tokens.weight. Record the replica as loaded when any call delivers it; spec_decode/dflash/utils.py still refuses to borrow an unloaded replica.

Claude-Session: https://claude.ai/code/session_015W5aeeDsFXgtoDWJZjtDpZ

Purpose

Test Plan

Test Result


Essential Elements of an Effective PR Description Checklist
  • The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
  • The test plan, such as providing test command.
  • The test results, such as pasting the results comparison before and after, or e2e results
  • (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

…alls

AutoWeightsLoader groups consecutive tensors by top-level prefix, so a
checkpoint whose shard order interleaves model.language_model.* with
lm_head/model.visual.* (the 33-shard nvidia/GLM-5.3-Flash-NVFP4 layout)
calls Glm5NextModel.load_weights more than once on the final pipeline
stage. The DFlash target-embedding replica check assumed a single call
and raised on the group without embed_tokens.weight. Record the replica
as loaded when any call delivers it; spec_decode/dflash/utils.py still
refuses to borrow an unloaded replica.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015W5aeeDsFXgtoDWJZjtDpZ

Signed-off-by: Nick <mermiges@gmail.com>
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