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update the template properly
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3 changed files with 3 additions and 2 deletions
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@ -356,6 +356,7 @@
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"scikit-learn",
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"scipy",
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"sentencepiece",
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"sqlite-vec",
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"tqdm",
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"transformers",
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"uvicorn",
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@ -23,7 +23,7 @@ The `llamastack/distribution-ollama` distribution consists of the following prov
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| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
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| telemetry | `inline::meta-reference` |
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| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime` |
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| vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |
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| vector_io | `inline::faiss`, `inline::sqlite_vec`, `remote::chromadb`, `remote::pgvector` |
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You should use this distribution if you have a regular desktop machine without very powerful GPUs. Of course, if you have powerful GPUs, you can still continue using this distribution since Ollama supports GPU acceleration.
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@ -25,7 +25,7 @@ from llama_stack.templates.template import DistributionTemplate, RunConfigSettin
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": ["remote::ollama"],
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"vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
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"vector_io": ["inline::faiss", "inline::sqlite_vec", "remote::chromadb", "remote::pgvector"],
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"safety": ["inline::llama-guard"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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