Initial SQL-only 1C adapter baseline

core/deploy/docker-gpu/vllm/.env.example

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+# Copy to .env on the deployment host and adjust values there.
+# Do not commit real tokens, private paths, or credentials.
+
+VLLM_CONTAINER_NAME=llm-vllm-text
+VLLM_IMAGE=vllm/vllm-openai:latest
+VLLM_MODEL_ID=Qwen/Qwen3-4B-Instruct-2507
+VLLM_SERVED_MODEL_NAME=qwen3-4b-instruct
+VLLM_LORA_MODULES=qwen3-4b-1c=/models/adapters/1c/qwen3-4b-1c-lora-v1
+VLLM_MAX_LORAS=1
+VLLM_HOST_PORT=8000
+VLLM_GPU_MEMORY_UTILIZATION=0.90
+VLLM_MAX_MODEL_LEN=32768
+VLLM_DTYPE=auto
+
+# Local model/cache paths on docker-gpu.cin.su.
+HOST_MODELS_DIR=/models
+HOST_HF_CACHE_DIR=/models/cache/huggingface
+
+# Set on the host only if the model source requires it.
+HF_TOKEN=

core/deploy/docker-gpu/vllm/compose.yaml

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+services:
+  vllm:
+    image: ${VLLM_IMAGE:-vllm/vllm-openai:latest}
+    container_name: ${VLLM_CONTAINER_NAME:-llm-vllm-text}
+    restart: unless-stopped
+    ipc: host
+    ports:
+      - "${VLLM_HOST_PORT:-8000}:8000"
+    environment:
+      HF_HOME: /root/.cache/huggingface
+      HUGGING_FACE_HUB_TOKEN: ${HF_TOKEN:-}
+    volumes:
+      - ${HOST_MODELS_DIR:-/models}:/models
+      - ${HOST_HF_CACHE_DIR:-/models/cache/huggingface}:/root/.cache/huggingface
+    command:
+      - --model
+      - ${VLLM_MODEL_ID:-Qwen/Qwen3-4B-Instruct-2507}
+      - --served-model-name
+      - ${VLLM_SERVED_MODEL_NAME:-qwen3-4b-instruct}
+      - --enable-lora
+      - --max-loras
+      - ${VLLM_MAX_LORAS:-1}
+      - --lora-modules
+      - ${VLLM_LORA_MODULES:-qwen3-4b-1c=/models/adapters/1c/qwen3-4b-1c-lora-v1}
+      - --host
+      - 0.0.0.0
+      - --port
+      - "8000"
+      - --gpu-memory-utilization
+      - ${VLLM_GPU_MEMORY_UTILIZATION:-0.90}
+      - --max-model-len
+      - ${VLLM_MAX_MODEL_LEN:-32768}
+      - --dtype
+      - ${VLLM_DTYPE:-auto}
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu