# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. from pathlib import Path from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput from llama_stack.providers.inline.inference.meta_reference import ( MetaReferenceInferenceConfig, ) from llama_stack.templates.template import DistributionTemplate, RunConfigSettings def get_distribution_template() -> DistributionTemplate: providers = { "inference": ["inline::meta-reference"], "memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"], "safety": ["inline::llama-guard"], "agents": ["inline::meta-reference"], "telemetry": ["inline::meta-reference"], } inference_provider = Provider( provider_id="meta-reference-inference", provider_type="inline::meta-reference", config=MetaReferenceInferenceConfig.sample_run_config( model="${env.INFERENCE_MODEL}", checkpoint_dir="${env.INFERENCE_CHECKPOINT_DIR:null}", ), ) inference_model = ModelInput( model_id="${env.INFERENCE_MODEL}", provider_id="meta-reference-inference", ) safety_model = ModelInput( model_id="${env.SAFETY_MODEL}", provider_id="meta-reference-safety", ) return DistributionTemplate( name="meta-reference-gpu", distro_type="self_hosted", description="Use Meta Reference for running LLM inference", template_path=Path(__file__).parent / "doc_template.md", providers=providers, default_models=[inference_model, safety_model], run_configs={ "run.yaml": RunConfigSettings( provider_overrides={ "inference": [inference_provider], }, default_models=[inference_model], ), "run-with-safety.yaml": RunConfigSettings( provider_overrides={ "inference": [ inference_provider, Provider( provider_id="meta-reference-safety", provider_type="inline::meta-reference", config=MetaReferenceInferenceConfig.sample_run_config( model="${env.SAFETY_MODEL}", checkpoint_dir="${env.SAFETY_CHECKPOINT_DIR:null}", ), ), ], }, default_models=[ inference_model, safety_model, ], default_shields=[ShieldInput(shield_id="${env.SAFETY_MODEL}")], ), }, docker_compose_env_vars={ "LLAMASTACK_PORT": ( "5001", "Port for the Llama Stack distribution server", ), "INFERENCE_MODEL": ( "meta-llama/Llama-3.2-3B-Instruct", "Inference model loaded into the Meta Reference server", ), "INFERENCE_CHECKPOINT_DIR": ( "null", "Directory containing the Meta Reference model checkpoint", ), "SAFETY_MODEL": ( "meta-llama/Llama-Guard-3-1B", "Name of the safety (Llama-Guard) model to use", ), "SAFETY_CHECKPOINT_DIR": ( "null", "Directory containing the Llama-Guard model checkpoint", ), }, )