* Add GPU Dockerfile and all-in-one llama-cpp docker compose w/ model downloader (fixed) * Sets `.env` file in docker compose + uses env values for llama-cpp-server
68 lines
1.6 KiB
YAML
68 lines
1.6 KiB
YAML
services:
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orpheus-fastapi:
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container_name: orpheus-fastapi
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build:
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context: .
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dockerfile: Dockerfile.gpu
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ports:
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- "5005:5005"
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env_file:
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- .env
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environment:
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- ORPHEUS_API_URL=http://llama-cpp-server:5006/v1/completions
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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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restart: unless-stopped
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depends_on:
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llama-cpp-server:
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condition: service_started
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llama-cpp-server:
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image: ghcr.io/ggml-org/llama.cpp:server-cuda
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ports:
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- "5006:5006"
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volumes:
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- ./models:/models
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env_file:
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- .env
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depends_on:
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model-init:
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condition: service_completed_successfully
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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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restart: unless-stopped
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command: >
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-m /models/${ORPHEUS_MODEL_NAME}
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--port 5006
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--host 0.0.0.0
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--n-gpu-layers 29
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--ctx-size ${ORPHEUS_MAX_TOKENS}
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--n-predict ${ORPHEUS_MAX_TOKENS}
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--rope-scaling linear
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model-init:
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image: curlimages/curl:latest
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user: ${UID}:${GID}
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volumes:
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- ./models:/app/models
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working_dir: /app
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command: >
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sh -c '
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if [ ! -f /app/models/${ORPHEUS_MODEL_NAME} ]; then
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echo "Downloading model file..."
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wget -P /app/models https://huggingface.co/lex-au/${ORPHEUS_MODEL_NAME}/resolve/main/${ORPHEUS_MODEL_NAME}
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else
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echo "Model file already exists"
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fi'
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restart: "no"
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