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https://github.com/meta-llama/llama-stack.git
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57a9b4d57f
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>
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import pytest
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# How to run this test:
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#
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# pytest -v -s llama_stack/providers/tests/inference/test_model_registration.py
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# -m "meta_reference"
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# --env TOGETHER_API_KEY=<your_api_key>
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class TestModelRegistration:
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@pytest.mark.asyncio
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async def test_register_unsupported_model(self, inference_stack, inference_model):
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inference_impl, models_impl = inference_stack
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provider = inference_impl.routing_table.get_provider_impl(inference_model)
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if provider.__provider_spec__.provider_type not in (
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"meta-reference",
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"remote::ollama",
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"remote::vllm",
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"remote::tgi",
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):
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pytest.skip(
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"Skipping test for remote inference providers since they can handle large models like 70B instruct"
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)
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# Try to register a model that's too large for local inference
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with pytest.raises(ValueError) as exc_info:
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await models_impl.register_model(
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model_id="Llama3.1-70B-Instruct",
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)
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@pytest.mark.asyncio
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async def test_register_nonexistent_model(self, inference_stack):
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_, models_impl = inference_stack
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# Try to register a non-existent model
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with pytest.raises(Exception) as exc_info:
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await models_impl.register_model(
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model_id="Llama3-NonExistent-Model",
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)
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@pytest.mark.asyncio
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async def test_register_with_llama_model(self, inference_stack):
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_, models_impl = inference_stack
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_ = await models_impl.register_model(
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model_id="custom-model",
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metadata={"llama_model": "meta-llama/Llama-2-7b"},
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)
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with pytest.raises(ValueError) as exc_info:
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await models_impl.register_model(
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model_id="custom-model-2",
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metadata={"llama_model": "meta-llama/Llama-2-7b"},
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provider_model_id="custom-model",
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)
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@pytest.mark.asyncio
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async def test_register_with_invalid_llama_model(self, inference_stack):
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_, models_impl = inference_stack
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with pytest.raises(ValueError) as exc_info:
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await models_impl.register_model(
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model_id="custom-model-2",
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metadata={"llama_model": "invalid-llama-model"},
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)
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