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@@ -115,15 +115,15 @@ failure mode this kills.
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109.5) survives the ~12 GiB of starting vLLM processes on top of
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`drop_caches` (which already ran post-sync, pre-container, default on).
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-Pending: (1) b12x O_DIRECT loader test (`--load-format b12x`, recipe
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-`glm53-flash-r28-4x-dcp4-b12xload` ready) — the r28 b12x added
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-`B12xModelLoader` (O_DIRECT reads into CUDA managed memory; weight loads stop
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-polluting the page cache — relevant to the memory gate above); (2) Discord
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-env vars `VLLM_GLM53_SPLIT_TARGET_BLOCK_SIZE=2048` /
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-`VLLM_GLM53_SPLIT_MAMBA_BLOCK_SIZE=256` — split GLM-5.3 KV into independent
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-target-MLA (2048) + recurrent-Mamba (256) page pools, requires
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-`mamba_cache_mode='align'`, fine-grained prefix reuse; research done in the
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-fork source (`vllm/platforms/interface.py:811`), test pending.
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+Pending: (1) b12x O_DIRECT loader test — DONE, blocked upstream: `--load-format b12x`
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+boots the loader (O_DIRECT, 44 shards, 92.6 GB physical, 404.1 s execution,
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+40.07/44.59 GiB into write-combined shared storage) but dies at
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+`b12x/loader/_checkpoint.py:370`: `ValueError: checkpoint destination was not
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+allocated as a weight: model.language_model.layers.45.eh_proj.weight` — the
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+GLM/Step-3.5-MTP `eh_proj` linear is missing from the pool allocation plan.
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+Report to the fork owner; keep `--load-format instanttensor` for GLM-5.3
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+NVFP4 meanwhile. Test recipe kept: `glm53-flash-r28-4x-dcp4-b12xload`
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+(re-test once the fork fix lands, then delete). (2) Discord env vars
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## Ops notes / lessons
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