Claude
38eca5c26a
revert: restore a3c45d3b yaml + Q-tiling + remove all OOM hacks
Root cause of 10 consecutive OOM failures:
- 'return zeros during profiling' hack → vllm overestimates free memory
→ allocates 7942 blocks → first real request OOMs
- blocks cap 5000 → band-aid that masks profiling bug
- gpu-memory-utilization 0.80 → unnecessary reduction from working 0.90
- max-num-seqs 2 → doubles peak activation memory
- PYTORCH_CUDA_ALLOC_CONF max_split_size_mb:512 → causes fragmentation
Restoring a3c45d3b parameters that actually work:
- yaml: max-model-len=131072, gpu-mem=0.90, max-num-seqs=1, batched-tokens=8192
- patch_xformers_sdpa_seq.py: Q-tiling (real memory optimization, not zeros hack)
- patch_block_major_worker_capacity.py: no blocks cap, just reserve_block_major
- patch_ops.sh: remove all docker-build-time compilation (all .so are prebuilt)
Only change from a3c45d3b: BI100_MOE_COREX_TOPK_SOFTMAX=1 (enable corex topk)
Kept fixes:
- protocol.py extra=allow (recover 180 rejected replay requests)
- corex_gdn_chunk_recurrent.so pybind kwargs (prebuilt with fixed signature)
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