diff --git a/scripts/frank-default-large.env b/scripts/frank-default-large.env
index 7226efc..844451f 100644
--- a/scripts/frank-default-large.env
+++ b/scripts/frank-default-large.env
@@ -25,14 +25,16 @@ LISTEN_PORT=7770
 RPC_SERVERS=192.168.0.235:50052
 
 # Model split fractions, one per device in order [RPC0, iGPU].
-# 0.54,0.46 = 35 of 65 blocks on the 3090 (blocks 0-34) - the maximum.
-# Split math (exact GGUF sizes, 2026-08-17): layer pool 27720 MB + MTP
-# head; llama.cpp assigns RPC0 the blocks while cumulative weight <= the
-# fraction of the pool. cum(34) = 53.83%, cum(35) = 55.31%. Measured:
-# 0.50 -> 32 blocks, 0.55 -> 36 blocks (9th FA block 35 -> KV 9216 MiB
-# -> cudaMalloc OOM by ~740 MiB). FA blocks at 3,7,...,63; KV stays
-# 8192 MiB (8 FA) at 35 blocks. Predicted free ~0.65 GiB.
-TENSOR_SPLIT=0.54,0.46
+# 0.53,0.47 = 34 of 65 blocks on the 3090 (blocks 0-33) - the maximum
+# provably-safe split, measured 2026-08-17 (two failed attempts):
+#  - 0.50: 32 blocks, KV 8192 MiB (8 FA) -> healthy, 1477 MiB free.
+#  - 0.54: weights 35 blocks but KV jumps to 9216 MiB (9th FA block) ->
+#    cudaMalloc OOM by ~740 MiB. The KV-per-device count rounds the
+#    split fraction over 66 layers, independent of the weight boundary;
+#    the flip to 9 FA sits at f ~= 0.538, just below the weight
+#    threshold for block 35. 0.53 keeps 8 FA under every rounding rule.
+# GGUF block scan: FA at 3,7,...,63; linear blocks 431 MB, FA 410 MB.
+TENSOR_SPLIT=0.53,0.47
 
 # Context pool. 262144 total = 1 parallel slot x 262144 per slot
 # (n_ctx_seq = n_ctx / n_seq_max, llama-context.cpp:293).