frank-default-small: render Qwen-Sharp via --jinja; pull more experts to GPU

--jinja: ik_llama only renders a custom --chat-template-file as real Jinja
when --jinja is passed (inputs.use_jinja ? apply_jinja : non-jinja
fallback). Without it the Qwen-Sharp template's thinking/image/tool
formatting is silently dropped. Add USE_JINJA=1 -> --jinja.

Experts: the RTX 3090 had ~5.4 GiB headroom; pull expert blocks 30,32,33,34
back to CUDA (each block ~630 MiB) from CPU for lower latency. Update the
OVERRIDE_EXPERT regex, its test, and the KB with the headroom-check note.

scripts/serve-frank-small.sh

@@ -45,6 +45,11 @@ fi
 : "${MMPROJ_FILE:=mmproj-Ornith-1.5-35B-A3B-f16.gguf}"
 : "${LLAMA_SERVER:=/home/dank/llama.cpp/build/bin/llama-server}"
 : "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
+# Render the Qwen-Sharp template with the true Jinja engine. ik_llama only
+# applies --chat-template-file as real Jinja when --jinja is passed;
+# otherwise it falls back to built-in non-Jinja handlers and silently drops
+# the custom template's thinking/image/tool formatting.
+: "${USE_JINJA:=1}"
 : "${ALIAS:=frank-default-small}"
 : "${BIND_ADDR:=0.0.0.0}"
 : "${LISTEN_PORT:=7770}"
@@ -92,6 +97,7 @@ exec "$LLAMA_SERVER" \
     --model "$MODEL" \
     --mmproj "$MMPROJ" \
     --chat-template-file "$CHAT_TEMPLATE_FILE" \
+    $([ "$USE_JINJA" = "1" ] && printf -- "--jinja") \
     --spec-type "$SPEC_TYPE" \
     --override-tensor "$OVERRIDE_EXPERT=$OVERRIDE_BUFT" \
     --cache-type-k "$CACHE_TYPE_K" \