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llm/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=