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

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# 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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41 changed files with 473 additions and 64 deletions
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4
llama_stack/distribution/routers/routers.py
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@ -109,7 +109,7 @@ class InferenceRouter(Inference):
model = await self.routing_table.get_model(model_id)
if model is None:
raise ValueError(f"Model '{model_id}' not found")
if model.model_type == ModelType.embedding_model:
if model.model_type == ModelType.embedding:
raise ValueError(
f"Model '{model_id}' is an embedding model and does not support chat completions"
)
@ -142,7 +142,7 @@ class InferenceRouter(Inference):
model = await self.routing_table.get_model(model_id)
if model is None:
raise ValueError(f"Model '{model_id}' not found")
if model.model_type == ModelType.embedding_model:
if model.model_type == ModelType.embedding:
raise ValueError(
f"Model '{model_id}' is an embedding model and does not support chat completions"
)