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Allow models to be registered as long as llama model is provided (#472)

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This PR allows models to be registered with provider as long as the user
specifies a llama model, even though the model does not match our
prebuilt provider specific mapping.
Test:
pytest -v -s
llama_stack/providers/tests/inference/test_model_registration.py -m
"together" --env TOGETHER_API_KEY=<KEY>

---------

Co-authored-by: Dinesh Yeduguru <dineshyv@fb.com>
This commit is contained in:
Dinesh Yeduguru 2024-11-18 15:05:29 -08:00 • committed by GitHub
parent 2a31163178
commit 57a9b4d57f
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3 changed files with 72 additions and 21 deletions
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50
llama_stack/providers/tests/inference/test_model_registration.py
View file

@ -6,7 +6,6 @@
import pytest
from llama_models.datatypes import CoreModelId
# How to run this test:
#
@ -17,11 +16,22 @@ from llama_models.datatypes import CoreModelId
class TestModelRegistration:
@pytest.mark.asyncio
async def test_register_unsupported_model(self, inference_stack):
_, models_impl = inference_stack
async def test_register_unsupported_model(self, inference_stack, inference_model):
inference_impl, models_impl = inference_stack
provider = inference_impl.routing_table.get_provider_impl(inference_model)
if provider.__provider_spec__.provider_type not in (
"meta-reference",
"remote::ollama",
"remote::vllm",
"remote::tgi",
):
pytest.skip(
"Skipping test for remote inference providers since they can handle large models like 70B instruct"
)
# Try to register a model that's too large for local inference
with pytest.raises(Exception) as exc_info:
with pytest.raises(ValueError) as exc_info:
await models_impl.register_model(
model_id="Llama3.1-70B-Instruct",
)
@ -37,21 +47,27 @@ class TestModelRegistration:
)
@pytest.mark.asyncio
async def test_update_model(self, inference_stack):
async def test_register_with_llama_model(self, inference_stack):
_, models_impl = inference_stack
# Register a model to update
model_id = CoreModelId.llama3_1_8b_instruct.value
old_model = await models_impl.register_model(model_id=model_id)
# Update the model
new_model_id = CoreModelId.llama3_2_3b_instruct.value
updated_model = await models_impl.update_model(
model_id=model_id, provider_model_id=new_model_id
_ = await models_impl.register_model(
model_id="custom-model",
metadata={"llama_model": "meta-llama/Llama-2-7b"},
)
# Retrieve the updated model to verify changes
assert updated_model.provider_resource_id != old_model.provider_resource_id
with pytest.raises(ValueError) as exc_info:
await models_impl.register_model(
model_id="custom-model-2",
metadata={"llama_model": "meta-llama/Llama-2-7b"},
provider_model_id="custom-model",
)
# Cleanup
await models_impl.unregister_model(model_id=model_id)
@pytest.mark.asyncio
async def test_register_with_invalid_llama_model(self, inference_stack):
_, models_impl = inference_stack
with pytest.raises(ValueError) as exc_info:
await models_impl.register_model(
model_id="custom-model-2",
metadata={"llama_model": "invalid-llama-model"},
)