feat(*):增加了一些模型
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vllm-qwen25-coder-32b-instruct/.env
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vllm-qwen25-coder-32b-instruct/.env
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# VARIABLE=value #comment
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vllm-qwen25-coder-32b-instruct/compose.yaml
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vllm-qwen25-coder-32b-instruct/compose.yaml
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version: "3.9"
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services:
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vllm-Qwen2.5-Coder-32B-Instruct:
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image: docker.citory.tech/mirror/vllm/vllm-openai:latest
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container_name: vllm-Qwen2.5-Coder-32B-Instruct
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ports:
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- 10580:8080
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tty: true
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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: 2
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capabilities:
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- gpu
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ipc: host
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runtime: nvidia
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volumes:
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- /home/deepgeek/data/data_local/server/vllm/models:/models
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restart: always
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command: --served-model-name Qwen2.5-Coder-32B-Instruct --model
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/models/Qwen/Qwen2.5-Coder-32B-Instruct --trust-remote-code --host 0.0.0.0
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--port 8080 --max-model-len 8192 --tensor-parallel-size 2
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--gpu_memory_utilization 0.9 --enforce-eager --dtype auto --swap-space 8
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--enable-auto-tool-choice --tool-call-parser llama3_json
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x-dockge:
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urls:
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- http://local.citory.tech:10580
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networks: {}
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