feat(qwen-image-bench): replace qwen3.6-35b-a3b on GPU1 with the T2I judge (NVFP4)

flukethoughts/Qwen-Image-Bench-NVFP4 — Qwen's text-to-image quality JUDGE (vision-intact, NVFP4) on ana-ml2 GPU 1, replacing qwen3.6-35b-a3b: - stacks/qwen-image-bench/ — vLLM multimodal serve (Qwen3_5ForConditionalGeneration, no text-only patch — vision wanted), GPU1 device pin, :8014. util 0.32 (0.22 KV-starved → crash-loop "no available memory for cache blocks"; util is a fraction of TOTAL so it must clear the ~20GB weight floor). - litellm: removed qwen3.6-35b-a3b + -thinking; added qwen-image-bench + qwen-image-judge alias. Verified live: healthy (KV 9.4GB / 133K tokens), text + IMAGE (vision path) both respond. NOTE: arbo's hero-judge was bound to qwen3.6-35b-a3b — comfy-dev notified to repoint.
2026-06-19 01:40:59 -07:00
parent 3ba0e544db
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+# qwen-image-bench — flukethoughts/Qwen-Image-Bench-NVFP4 on ana-ml2 GPU 1,
+# REPLACING qwen3.6-35b-a3b (operator 2026-06-19). Qwen's text-to-image quality
+# JUDGE model (vision-language, NVFP4 weights / vision tower bf16). NOT generative —
+# it scores T2I outputs on 5 dims (overall quality, prompt match, aesthetic, LoRA
+# activation, confidence).
+#
+# Arch: Qwen3_5ForConditionalGeneration (dense Qwen3.5 hybrid SSM+attn + vision),
+# ~17B / ~20GB NVFP4. VISION-INTACT → served as multimodal; NO text-only patch
+# (unlike the qwen3.5-122b gen model, which had text-only weights). vLLM
+# production-validated per the model card.
+#
+# ⚠️ qwen3.6-35b-a3b was arbo's hero-judge (comfy-dev consumer). Downing it breaks
+# arbo's judging until comfy-dev repoints to qwen-image-bench (different I/O — a
+# 5-dim verdict vs a general VL judge). comfy-dev notified.
+#
+# DISPLACEMENT: GPU 1 is shared (granite/selene/embed/rerank/reward). qwen3.6 used
+# util 0.34 (~33GB); down it first, then this fits at util ~0.22 (~21GB). REVERT =
+# down this, `up -d` the qwen36 stack.
+#
+# Tunables in .env.
+
+name: qwen-image-bench
+
+services:
+  vllm-qwen-image-bench:
+    image: ${QIB_IMAGE:-vllm/vllm-openai:latest}
+    container_name: ${QIB_CONTAINER_NAME:-vllm-qwen-image-bench}
+    restart: unless-stopped
+    ipc: host
+    ports:
+      - "${QIB_PORT:-8014}:8000"
+    volumes:
+      - /tank/aimodels/huggingface:/hfcache
+      - /tank/aimodels/qwen-image-bench-nvfp4:/model:ro
+    environment:
+      - HF_HOME=/hfcache
+      - HF_HUB_CACHE=/hfcache/hub
+      - VLLM_API_KEY=${API_KEY:-}
+    command:
+      - /model
+      - --served-model-name
+      - qwen-image-bench
+      - --host
+      - 0.0.0.0
+      - --port
+      - "8000"
+      - --gpu-memory-utilization
+      - ${QIB_GPU_MEM_UTIL:-0.32}
+      - --max-model-len
+      - ${QIB_MAX_MODEL_LEN:-32768}
+      - --max-num-seqs
+      - ${QIB_MAX_NUM_SEQS:-8}
+      - --trust-remote-code
+      - --dtype
+      - auto
+      - --enable-prefix-caching
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              device_ids:
+                - "${QIB_GPU_ID:-1}"
+              capabilities:
+                - gpu
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 600s
+    networks:
+      - tnet
+    labels:
+      - homepage.group=AI Systems
+      - homepage.name=Qwen-Image-Bench (T2I judge, NVFP4)
+      - homepage.icon=mdi-image-check
+      - homepage.description=Qwen text-to-image quality judge (NVFP4, vision-intact) on ana-ml2 GPU 1
+      - homepage.href=http://10.250.50.54:${QIB_PORT:-8014}/docs
+
+networks:
+  tnet:
+    name: traefik-net
+    external: true