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64 lines
2 KiB
Python
64 lines
2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from pathlib import Path
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from llama_models.sku_list import all_registered_models
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from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
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from llama_stack.providers.remote.inference.nvidia import NVIDIAConfig
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from llama_stack.providers.remote.inference.nvidia._nvidia import _MODEL_ALIASES
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from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": ["remote::nvidia"],
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"memory": ["inline::faiss", "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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}
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inference_provider = Provider(
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provider_id="nvidia",
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provider_type="remote::nvidia",
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config=NVIDIAConfig.sample_run_config(),
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)
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inference_model = ModelInput(
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model_id="${env.INFERENCE_MODEL}",
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provider_id="nvidia",
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)
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return DistributionTemplate(
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name="nvidia",
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distro_type="remote_hosted",
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description="Use NVIDIA NIM for running LLM inference",
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docker_image=None,
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template_path=Path(__file__).parent / "doc_template.md",
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providers=providers,
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default_models=[inference_model],
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run_configs={
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"run.yaml": RunConfigSettings(
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provider_overrides={
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"inference": [inference_provider],
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},
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default_models=[inference_model],
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),
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},
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run_config_env_vars={
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"LLAMASTACK_PORT": (
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"5001",
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"Port for the Llama Stack distribution server",
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),
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"NVIDIA_API_KEY": (
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"",
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"NVIDIA API Key",
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),
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},
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)
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