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https://github.com/meta-llama/llama-stack.git
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9114bef484
## What does this PR do? fix the template to make it compatible with the latest dataset and eval api change ## test run `llama stack run llama_stack/templates/experimental-post-training/run.yaml` and spin up the llama stack server successfully
99 lines
2.5 KiB
YAML
99 lines
2.5 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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- vector_io
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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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- provider_id: ollama
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provider_type: remote::ollama
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config:
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url: ${env.OLLAMA_URL:http://localhost:11434}
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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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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}/meta_reference_eval.db
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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: localfs
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provider_type: inline::localfs
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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/experimental-post-training}/localfs_datasetio.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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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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checkpoint_format: huggingface
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}
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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/experimental-post-training}/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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vector_io:
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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/experimental-post-training}/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/experimental-post-training}/registry.db
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models: []
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shields: []
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vector_dbs: []
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datasets: []
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scoring_fns: []
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benchmarks: []
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