Samuele E. Locatelli
95 lines
2.3 KiB
Plaintext
95 lines
2.3 KiB
Plaintext
services:
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qwen-dense:
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image: nvcr.io/nvidia/vllm:26.03.post1-py3
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container_name: vllm-qwen-dense
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restart: always
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ipc: host
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ports:
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- "8000:8000"
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volumes:
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- /root/.cache/huggingface:/root/.cache/huggingface
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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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command: >
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vllm serve Qwen/Qwen3.6-27B-FP8
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--quantization fp8
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--gpu-memory-utilization 0.32
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--kv-cache-dtype fp8
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--max-model-len 32768
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--trust-remote-code
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--enable-auto-tool-choice
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--tool-call-parser hermes
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--served-model-name qwen-3.6-27b-dense
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 5
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start_period: 300s
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qwen-moe:
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image: nvcr.io/nvidia/vllm:26.03.post1-py3
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container_name: vllm-qwen-moe
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restart: always
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ipc: host
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depends_on:
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qwen-dense:
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condition: service_healthy
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ports:
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- "8001:8000"
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volumes:
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- /root/.cache/huggingface:/root/.cache/huggingface
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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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command: >
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vllm serve Qwen/Qwen3.6-35B-A3B-FP8
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--quantization fp8
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--kv-cache-dtype fp8
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--max-model-len 32768
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--gpu-memory-utilization 0.32
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--trust-remote-code
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--enable-auto-tool-choice
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--tool-call-parser hermes
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--served-model-name qwen-3.6-35b-moe
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gemma4-moe:
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image: nvcr.io/nvidia/vllm:26.03.post1-py3
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container_name: vllm-gemma4-moe
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restart: always
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ipc: host
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depends_on:
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qwen-moe:
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condition: service_healthy
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ports:
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- "8002:8000"
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volumes:
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- /root/.cache/huggingface:/root/.cache/huggingface
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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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command: >
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vllm serve google/gemma-4-26B-A4B-it
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--quantization fp8
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--kv-cache-dtype fp8
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--max-model-len 32768
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--gpu-memory-utilization 0.32
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--trust-remote-code
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--enable-auto-tool-choice
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--tool-call-parser hermes
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--served-model-name gemma-4-26b-moe
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