mirror of
https://github.com/meta-llama/llama-stack.git
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d28c3dfe0f
* bake run.yaml inside docker, simplify run * add docker template examples * delete generated Dockerfile * unique deps * clean up debug * default entrypoint * address comments, update output msg * update msg * build output msg * configure msg * unique special_deps * remove quotes in configure
67 lines
1.4 KiB
YAML
67 lines
1.4 KiB
YAML
built_at: '2024-09-30T09:00:56.693751'
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image_name: local-gpu
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docker_image: local-gpu
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conda_env: null
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apis_to_serve:
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- memory
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- inference
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- agents
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- shields
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- safety
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- models
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- memory_banks
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api_providers:
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inference:
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providers:
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- meta-reference
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safety:
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providers:
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- meta-reference
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agents:
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provider_id: 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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memory:
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providers:
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- meta-reference
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telemetry:
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provider_id: meta-reference
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config: {}
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routing_table:
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inference:
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- provider_id: 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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routing_key: Llama3.1-8B-Instruct
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safety:
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- provider_id: meta-reference
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config:
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llama_guard_shield: null
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prompt_guard_shield: null
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routing_key: llama_guard
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- provider_id: meta-reference
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config:
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llama_guard_shield: null
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prompt_guard_shield: null
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routing_key: code_scanner_guard
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- provider_id: meta-reference
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config:
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llama_guard_shield: null
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prompt_guard_shield: null
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routing_key: injection_shield
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- provider_id: meta-reference
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config:
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llama_guard_shield: null
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prompt_guard_shield: null
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routing_key: jailbreak_shield
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memory:
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- provider_id: meta-reference
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config: {}
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routing_key: vector
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