forked from phoenix-oss/llama-stack-mirror
6da3053c0e
It's a more generic term and applicable to alternatives of Docker, such as Podman or other OCI-compliant technologies. --------- Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
88 lines
2.1 KiB
YAML
88 lines
2.1 KiB
YAML
version: '2'
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image_name: experimental-post-training
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container_image: null
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conda_env: experimental-post-training
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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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- post_training
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- tool_runtime
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providers:
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inference:
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- provider_id: meta-reference-inference
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provider_type: inline::meta-reference
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config:
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max_seq_len: 4096
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checkpoint_dir: null
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create_distributed_process_group: False
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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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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: 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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datasetio:
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- provider_id: huggingface-0
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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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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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post_training:
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- provider_id: torchtune-post-training
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provider_type: inline::torchtune
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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/meta-reference-gpu}/agents_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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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/meta-reference-gpu}/faiss_store.db
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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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metadata_store:
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namespace: null
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/meta-reference-gpu}/registry.db
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models: []
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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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