frank-small: SGLang MiMo-V2.6-Distill-Qwen-9B INT8 (qwen3_5 hybrid, RTX 3090)

Replaces llama.cpp Gemma4-12B-QAT (payload + binary retained as rollback).
SGLang in a self-contained python3.12 venv with an extracted CUDA 13.0
nvcc toolchain for the sgl-kernel/flashinfer JIT.

Shape: fp8 KV, pinned 606,208-token pool / 4 x 151,552 slots, bf16 mamba
states pinned at 32 slots (the engine autofills the ssm pool to a fixed
~5.1 GB regardless of dtype), eager prefill (no headroom for graph
capture), no spec decode (the checkpoint ships no mtp.* tensors despite
mtp_num_hidden_layers=1 — NEXTN drafts with an uninitialised 4.24 GiB
ghost at 0% acceptance).

Verified: 83.9 tok/s decode, 170k single prompt, 4 concurrent 54k
requests, vision (in-checkpoint tower), reasoning_content field.

tests/frank_large_unit.bats

@@ -167,11 +167,12 @@ argv_value() {
 
 @test "frank-large stays text-only" {
     # The payload has no mmproj, so an --mmproj would point at nothing. The
-    # fleet's image path is frank-small; models.yml declares frank-large
-    # text-only.
+    # fleet's image path is frank-small: its SGLang MiMo payload carries the
+    # vision tower inside the checkpoint (no projector file at all), and
+    # models.yml declares frank-large text-only.
     serve_argv
     ! argv_has --mmproj
-    grep -q -- '--mmproj' "$REPO_ROOT/scripts/serve-frank-small.sh"
+    grep -q 'MiMo-V2.6-Distill-Qwen-9B-INT8-W8A16-AutoRound' "$REPO_ROOT/scripts/frank-small.env"
 }
 
 @test "the engine is asked for greedy decoding and for preserved prior reasoning" {