llama-stack/llama_stack/templates/meta-reference-quantized-gpu/meta_reference.py
2024-11-20 23:20:05 -08:00

67 lines
2.4 KiB
Python

# 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
from llama_stack.providers.inline.inference.meta_reference import (
MetaReferenceQuantizedInferenceConfig,
)
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
def get_distribution_template() -> DistributionTemplate:
providers = {
"inference": ["inline::meta-reference-quantized"],
"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-quantized",
config=MetaReferenceQuantizedInferenceConfig.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",
)
return DistributionTemplate(
name="meta-reference-quantized-gpu",
distro_type="self_hosted",
description="Use Meta Reference with fp8, int4 quantization for running LLM inference",
template_path=Path(__file__).parent / "doc_template.md",
providers=providers,
default_models=[inference_model],
run_configs={
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": [inference_provider],
},
default_models=[inference_model],
),
},
run_config_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",
),
},
)