add embedding model by default to distribution templates (#617)

# What does this PR do?
Adds the sentence transformer provider and the `all-MiniLM-L6-v2`
embedding model to the default models to register in the run.yaml for
all providers.

## Test Plan
llama stack build --template together --image-type conda
llama stack run
~/.llama/distributions/llamastack-together/together-run.yaml
This commit is contained in:
Dinesh Yeduguru 2024-12-13 12:48:00 -08:00 committed by GitHub
parent e893b22868
commit 516e1a3e59
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GPG key ID: B5690EEEBB952194
41 changed files with 473 additions and 64 deletions

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@ -6,10 +6,15 @@
from pathlib import Path
from llama_stack.apis.models.models import ModelType
from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
from llama_stack.providers.inline.inference.meta_reference import (
MetaReferenceInferenceConfig,
)
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
@ -34,6 +39,11 @@ def get_distribution_template() -> DistributionTemplate:
checkpoint_dir="${env.INFERENCE_CHECKPOINT_DIR:null}",
),
)
embedding_provider = Provider(
provider_id="sentence-transformers",
provider_type="inline::sentence-transformers",
config=SentenceTransformersInferenceConfig.sample_run_config(),
)
memory_provider = Provider(
provider_id="faiss",
provider_type="inline::faiss",
@ -44,6 +54,14 @@ def get_distribution_template() -> DistributionTemplate:
model_id="${env.INFERENCE_MODEL}",
provider_id="meta-reference-inference",
)
embedding_model = ModelInput(
model_id="all-MiniLM-L6-v2",
provider_id="sentence-transformers",
model_type=ModelType.embedding,
metadata={
"embedding_dimension": 384,
},
)
safety_model = ModelInput(
model_id="${env.SAFETY_MODEL}",
provider_id="meta-reference-safety",
@ -59,15 +77,16 @@ def get_distribution_template() -> DistributionTemplate:
run_configs={
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": [inference_provider],
"inference": [inference_provider, embedding_provider],
"memory": [memory_provider],
},
default_models=[inference_model],
default_models=[inference_model, embedding_model],
),
"run-with-safety.yaml": RunConfigSettings(
provider_overrides={
"inference": [
inference_provider,
embedding_provider,
Provider(
provider_id="meta-reference-safety",
provider_type="inline::meta-reference",
@ -82,6 +101,7 @@ def get_distribution_template() -> DistributionTemplate:
default_models=[
inference_model,
safety_model,
embedding_model,
],
default_shields=[ShieldInput(shield_id="${env.SAFETY_MODEL}")],
),