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@@ -21,3 +21,9 @@ python scripts/prepare_data.py --dataset fineweb-edu --tokens 3e9 --out data/fin torchrun --nproc_per_node=8 scripts/train.py --model configs/model/m124.yaml --train configs/train/zbp_n16.yaml ``` Global batch is fixed in the train config; per-rank micro-batch and accumulation adapt to world size. + +## Measured cost (48 GB Ampere-class, d=512 L=8 seq 1024, shared GPU) +BP 312 ms/step; ZBP n=16 **8.7x**, n=64 **29x** (FLOPs-bound: probe batching is already saturated at +probe_chunk 8; the score core uses its own chunk <= 4 since its memory goes as chunk*B*H*T^2). +Ladder arms: **bp / zbp_n16 / zbp_n64** per size (n=4 optional). Headroom if needed: torch.compile on the +query path; forward differences (n+1 instead of 2n queries) as a cheaper biased arm. |