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remove inline-nvidia templates
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3 changed files with 0 additions and 159 deletions
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../../llama_stack/templates/nvidia/build.yaml
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services:
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nim:
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image: ${DOCKER_IMAGE:-nvcr.io/nim/meta/llama-3.1-8b-instruct:latest}
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network_mode: "host"
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volumes:
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- nim-llm-cache:/opt/nim/.cache
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ports:
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- "8000:8000"
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shm_size: 16G
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environment:
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- CUDA_VISIBLE_DEVICES=0
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- NIM_HTTP_API_PORT=8000
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- NIM_TRITON_LOG_VERBOSE=1
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- NGC_API_KEY=${NIM_NGC_API_KEY:-${NGC_API_KEY:-ngcapikey}}
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command: []
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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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healthcheck:
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test: ["CMD", "curl", "http://localhost:8000/v1/health/ready"]
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interval: 5s
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timeout: 5s
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retries: 30
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start_period: 120s
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llamastack:
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depends_on:
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- nim
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image: distribution-nvidia:dev
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network_mode: "host"
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volumes:
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- ~/.llama:/root/.llama
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- ./run.yaml:/root/llamastack-run-nvidia.yaml
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ports:
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- "5000:5000"
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environment:
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- INFERENCE_MODEL=${INFERENCE_MODEL:-Llama3.1-8B-Instruct}
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- NVIDIA_API_KEY=${NVIDIA_API_KEY:-}
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entrypoint: bash -c "python -m llama_stack.distribution.server.server --yaml-config /root/llamastack-run-nvidia.yaml"
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deploy:
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restart_policy:
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condition: on-failure
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delay: 3s
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max_attempts: 5
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window: 60s
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volumes:
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nim-llm-cache:
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driver: local
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@ -1,100 +0,0 @@
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version: '2'
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image_name: nvidia
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conda_env: nvidia
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apis:
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- agents
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- datasetio
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- eval
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- inference
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- memory
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- safety
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- scoring
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- telemetry
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- tool_runtime
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providers:
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inference:
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- provider_id: nvidia
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provider_type: remote::nvidia
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config:
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url: http://localhost:8000
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api_key: ${env.NVIDIA_API_KEY} # TODO: don't need api key, code adjustments needed
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memory:
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- provider_id: faiss
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provider_type: inline::faiss
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config:
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kvstore:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/faiss_store.db
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config: {}
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agents:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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persistence_store:
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type: sqlite
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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/agents_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: ${env.OTEL_SERVICE_NAME:llama-stack}
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sinks: ${env.TELEMETRY_SINKS:console,sqlite}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/nvidia/trace_store.db}
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eval:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config: {}
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datasetio:
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- provider_id: huggingface
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provider_type: remote::huggingface
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config: {}
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- provider_id: localfs
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provider_type: inline::localfs
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config: {}
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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config: {}
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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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config: {}
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- provider_id: braintrust
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provider_type: inline::braintrust
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config:
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openai_api_key: ${env.OPENAI_API_KEY:}
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tool_runtime:
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- provider_id: brave-search
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provider_type: remote::brave-search
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config:
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api_key: ${env.BRAVE_SEARCH_API_KEY:}
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max_results: 3
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- provider_id: tavily-search
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provider_type: remote::tavily-search
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config:
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api_key: ${env.TAVILY_SEARCH_API_KEY:}
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max_results: 3
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- provider_id: code-interpreter
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provider_type: inline::code-interpreter
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config: {}
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- provider_id: memory-runtime
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provider_type: inline::memory-runtime
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config: {}
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nvidia}/registry.db
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models:
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- metadata: {}
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model_id: ${env.INFERENCE_MODEL}
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provider_id: nvidia
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model_type: llm
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shields: []
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memory_banks: []
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datasets: []
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scoring_fns: []
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eval_tasks: []
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tool_groups: []
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