39 lines
1.1 KiB
YAML
39 lines
1.1 KiB
YAML
services:
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vllm:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "8000:8000"
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environment:
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- OMP_NUM_THREADS=128
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- CUDA_LAUNCH_BLOCKING=0
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- PYTHONUNBUFFERED=1
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- VLLM_RPC_TIMEOUT_MS=600000
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command:
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- /model
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- --trust-remote-code
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- --enable-expert-parallel
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- --tensor-parallel-size=8
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#- --enforce-eager
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- --compilation-config
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#- '{"cudagraph_mode": "FULL_DECODE_ONLY", "custom_ops": ["all"], "cudagraph_capture_sizes": [1, 2, 4, 8], "max_cudagraph_capture_size": 8}'
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- '{"cudagraph_mode":"FULL_AND_PIECEWISE", "custom_ops":["all"]}'
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#- --moe-backend=deep_gemm_mega_moe
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- --tokenizer-mode=deepseek_v4
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#- --attention_config.use_fp4_indexer_cache=True
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- --tool-call-parser=deepseek_v4
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- --enable-auto-tool-choice
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- --reasoning-parser=deepseek_v4
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- --host=0.0.0.0
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- --port=8000
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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volumes:
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- /root/nvidia-meeting/DeepSeek-V4-Pro-NVFP4:/model:ro
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