frank-small: revert to bf16 KV — the only dtype that boots Gemma4

int8_per_token_head: page-size unification fails (scale tensor breaks
the 256/512 head-dim ratio). turboquant_k8v4: backend validation fails
(no mm-prefix attention, which Gemma4's vision/audio path requires).
fp8: hardware-dead on sm_86. bf16 it is; history documented in
frank-small.env, seam pins auto + no backend pin.

tests/frank_small_unit.bats

@@ -98,7 +98,7 @@ QUADLET_LARGE="$REPO_ROOT/dankclaw/frank-large/quadlet/frank-large.container"
     ! grep -q 'HALOGEN_VISION_TOWER' "$QUADLET_LARGE"
 }
 
-@test "frank-small serves the full window with turboquant KV on a dedicated card" {
+@test "frank-small serves the full window with bf16 KV on a dedicated card" {
     local maxlen kvdtype util seqs
     maxlen="$(sed -nE 's/^MAX_MODEL_LEN=([0-9]+)$/\1/p' "$ENV_FILE")"
     kvdtype="$(sed -nE 's/^KV_CACHE_DTYPE=(.+)$/\1/p' "$ENV_FILE")"
@@ -106,19 +106,17 @@ QUADLET_LARGE="$REPO_ROOT/dankclaw/frank-large/quadlet/frank-large.container"
     seqs="$(sed -nE 's/^MAX_NUM_SEQS=([0-9]+)$/\1/p' "$ENV_FILE")"
     # The model's FULL trained window (262144), not a divided one.
     [ "$maxlen" = "262144" ]
-    # TurboQuant k8v4 KV (K 8-bit, V 4-bit, in-tensor block scales,
-    # dedicated TURBOQUANT backend with an Ampere path). The int8/fp8
-    # per-token-head dtypes cannot boot this model: their separate fp32
-    # scale tensor breaks the page-size ratio between Gemma4's SWA
-    # (head_dim 256) and full-attention (head_dim 512) layers, and fp8 is
-    # hardware-dead on sm_86 anyway.
-    [ "$kvdtype" = "turboquant_k8v4" ]
-    # The TURBOQUANT backend must be pinned via --attention-backend:
-    # Gemma4's config hook force-selects TRITON_ATTN (mixed 256/512 head
-    # dims) whenever no backend is selected, and TRITON_ATTN rejects the
-    # turboquant dtype. This vLLM build has no attention-backend env var.
-    grep -q '^ATTENTION_BACKEND=TURBOQUANT$' "$ENV_FILE"
-    grep -q -- '--attention-backend "$ATTENTION_BACKEND"' "$SERVE"
+    # bf16 KV (auto): the only dtype that boots Gemma4 in this vLLM build.
+    # int8_per_token_head dies in unify_kv_cache_spec_page_size (separate
+    # fp32 scale tensor breaks the 256/512 head-dim page-size ratio),
+    # turboquant_k8v4 dies in backend validation (no mm-prefix attention),
+    # and fp8 is hardware-dead on sm_86 — see frank-small.env.
+    [ "$kvdtype" = "auto" ]
+    # No pinned attention backend: Gemma4's config hook selects TRITON_ATTN
+    # for the mixed head dims, and pinning any other backend breaks the KV
+    # dtype or mm-prefix validation.
+    ! grep -q '^ATTENTION_BACKEND' "$ENV_FILE"
+    ! grep -q -- '--attention-backend' "$SERVE"
     # The 3090 is dedicated to this service, so the engine may take most of
     # it; the KV pool, not the seq ceiling, caps full-context concurrency.
     [ "$util" = "0.95" ]