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tgi docker compose
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55
scripts/docker/tgi/compose.yaml
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55
scripts/docker/tgi/compose.yaml
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services:
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text-generation-inference:
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image: ghcr.io/huggingface/text-generation-inference:latest
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network_mode: "host"
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volumes:
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- $HOME/.cache/huggingface:/data
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ports:
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- "5009:5009"
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devices:
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- nvidia.com/gpu=all
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environment:
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- CUDA_VISIBLE_DEVICES=0
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- HF_HOME=/data
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- HF_DATASETS_CACHE=/data
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- HF_MODULES_CACHE=/data
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- HF_HUB_CACHE=/data
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command: ["--dtype", "bfloat16", "--usage-stats", "on", "--sharded", "false", "--model-id", "meta-llama/Llama-3.1-8B-Instruct", "--port", "5009", "--cuda-memory-fraction", "0.3"]
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:5009/health"]
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interval: 5s
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timeout: 5s
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retries: 10
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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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# that's the closest analogue to --gpus; provide
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# an integer amount of devices or 'all'
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count: 1
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# Devices are reserved using a list of capabilities, making
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# capabilities the only required field. A device MUST
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# satisfy all the requested capabilities for a successful
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# reservation.
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capabilities: [gpu]
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runtime: nvidia
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llamastack-local-cpu:
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depends_on:
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text-generation-inference:
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condition: service_healthy
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restart: on-failure
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image: llamastack-local-cpu
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network_mode: "host"
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volumes:
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- ~/.llama:/root/.llama
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# Link to TGI run.yaml file
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- ./tgi-run.yaml:/root/llamastack-run-tgi.yaml
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ports:
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- "5000:5000"
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command: ["--yaml_config", "/root/llamastack-run-tgi.yaml"]
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:5009/health"]
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interval: 5s
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timeout: 5s
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retries: 10
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59
scripts/docker/tgi/tgi-run.yaml
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scripts/docker/tgi/tgi-run.yaml
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version: '2'
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built_at: '2024-10-08T17:40:45.325529'
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image_name: local
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docker_image: null
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conda_env: local
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apis:
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- shields
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- agents
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- models
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- memory
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- memory_banks
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- inference
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- safety
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# - evals
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providers:
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# evals:
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# - provider_id: eleuther
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# provider_type: eleuther
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# config: {}
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inference:
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- provider_id: remote::tgi
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provider_type: remote::tgi
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config:
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url: http://127.0.0.1:5009
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# - provider_id: meta-reference
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# provider_type: meta-reference
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# config:
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# model: Llama3.1-8B-Instruct
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# quantization: null
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# torch_seed: null
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# max_seq_len: 4096
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# max_batch_size: 1
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safety:
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- provider_id: meta-reference
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provider_type: meta-reference
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config:
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llama_guard_shield:
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model: Llama-Guard-3-1B
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excluded_categories: []
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disable_input_check: false
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disable_output_check: false
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prompt_guard_shield:
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model: Prompt-Guard-86M
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memory:
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- provider_id: meta-reference
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provider_type: meta-reference
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config: {}
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agents:
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- provider_id: meta-reference
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provider_type: meta-reference
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config:
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persistence_store:
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namespace: null
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type: sqlite
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db_path: /home/xiyan/.llama/runtime/kvstore.db
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telemetry:
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- provider_id: meta-reference
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provider_type: meta-reference
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config: {}
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