feat(llm-serving): scale ornith to 2 replicas instead of a dedicated grm GPU

reasoning keeps its 2 GPUs untouched. verifier's freed GPU goes to a second ornith replica instead of a standalone qwen-only pod -- both replicas load ornith:35b + qwen2.5:3b-instruct, k8s Service load-balances across them, so 2 concurrent implementer-style calls get independent instances.

k8s/apps/llm-serving/ornith.yaml

@@ -38,8 +38,12 @@ spec:
 
         ollama pull ornith:35b
 
+        ollama pull qwen2.5:3b-instruct
+
         ollama run ornith:35b "ok" >/dev/null 2>&1 || true
 
+        ollama run qwen2.5:3b-instruct "ok" >/dev/null 2>&1 || true
+
         wait $SERVE_PID
 
         '
@@ -54,11 +58,8 @@ spec:
         value: '-1'
       - name: OLLAMA_NUM_PARALLEL
         value: '1'
-      # qwen2.5:3b-instruct moved to its own dedicated GPU (llm-serving/grm.yaml)
-      # so verification/judge traffic no longer contends with ornith:35b's
-      # planner/implementer traffic on this one -- single model here now.
       - name: OLLAMA_MAX_LOADED_MODELS
-        value: '1'
+        value: '2'
       image: ollama/ollama:0.32.9@sha256:1685741456770df6e3cceb2a945a5f75e020f658d1701509668d6f4688f1dd3f
       name: kserve-container
       ports:
@@ -69,7 +70,8 @@ spec:
           command:
           - /bin/sh
           - -c
-          - ollama ps 2>/dev/null | grep -q ornith
+          - ollama ps 2>/dev/null | grep -q ornith && ollama ps 2>/dev/null |
+            grep -q qwen2.5
         periodSeconds: 10
       resources:
         limits:
@@ -85,7 +87,8 @@ spec:
           command:
           - /bin/sh
           - -c
-          - ollama ps 2>/dev/null | grep -q ornith
+          - ollama ps 2>/dev/null | grep -q ornith && ollama ps 2>/dev/null |
+            grep -q qwen2.5
         failureThreshold: 120
         periodSeconds: 15
       volumeMounts:
@@ -93,8 +96,13 @@ spec:
         name: models
     deploymentStrategy:
       type: Recreate
-    maxReplicas: 1
-    minReplicas: 1
+    # 2 replicas -- each its own GPU, each loading both ornith:35b and
+    # qwen2.5:3b-instruct -- so 2 concurrent implementer-style calls each
+    # get an independent instance instead of contending on one, at the
+    # cost of judge/qwen traffic still sharing whichever replica an
+    # implementer call also lands on.
+    maxReplicas: 2
+    minReplicas: 2
     nodeSelector:
       kubernetes.io/hostname: worker-1
     runtimeClassName: nvidia