Initial SQL-only 1C adapter baseline

core/deploy/docker-gpu/training/1c-lora.compose.yaml

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+services:
+  train-1c-lora:
+    image: ${TRAINING_IMAGE:-pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime}
+    container_name: llm-train-1c-lora
+    working_dir: /workspace
+    shm_size: 16gb
+    volumes:
+      - ${HOST_WORKSPACE_DIR:-/workspace/LLM}:/workspace
+      - ${HOST_MODELS_DIR:-/models}:/models
+    command:
+      - bash
+      - -lc
+      - |
+        pip install -r requirements-training.txt &&
+        python scripts/preflight_1c_training.py --config ${TRAINING_CONFIG:-/workspace/plugins/1c/training/configs/qwen3-coder-30b-a3b-lora.yaml} &&
+        if [ "${PREFLIGHT_ONLY:-0}" = "1" ]; then exit 0; fi &&
+        python scripts/train_1c_lora.py --config ${TRAINING_CONFIG:-/workspace/plugins/1c/training/configs/qwen3-coder-30b-a3b-lora.yaml}
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu

core/deploy/docker-gpu/training/1c-lora.env.example

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+TRAINING_IMAGE=pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
+HOST_WORKSPACE_DIR=Z:/LLM/model-chat-app
+HOST_MODELS_DIR=Z:/LLM/models
+TRAINING_CONFIG=/workspace/plugins/1c/training/configs/qwen3-coder-30b-a3b-lora.yaml