llama-stack-mirror/llama_stack/providers/tests/inference/test_model_registration.py
Ashwin Bharambe e84d4436b5
Since we are pushing for HF repos, we should accept them in inference configs (#497)
# What does this PR do?

As the title says. 

## Test Plan

This needs
8752149f58
to also land. So the next package (0.0.54) will make this work properly.

The test is:

```bash
pytest -v -s -m "llama_3b and meta_reference" test_model_registration.py
```
2024-11-20 16:14:37 -08:00

72 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.
import pytest
# How to run this test:
#
# pytest -v -s llama_stack/providers/tests/inference/test_model_registration.py
# -m "meta_reference"
class TestModelRegistration:
@pytest.mark.asyncio
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(ValueError) as exc_info:
await models_impl.register_model(
model_id="Llama3.1-70B-Instruct",
)
@pytest.mark.asyncio
async def test_register_nonexistent_model(self, inference_stack):
_, models_impl = inference_stack
# Try to register a non-existent model
with pytest.raises(Exception) as exc_info:
await models_impl.register_model(
model_id="Llama3-NonExistent-Model",
)
@pytest.mark.asyncio
async def test_register_with_llama_model(self, inference_stack):
_, models_impl = inference_stack
_ = await models_impl.register_model(
model_id="custom-model",
metadata={"llama_model": "meta-llama/Llama-2-7b"},
)
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",
)
@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"},
)