40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
from typing import List
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import pytest
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from vllm.lora.models import LoRAModel
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from vllm.lora.utils import get_adapter_absolute_path
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from vllm.model_executor.models.llama import LlamaForCausalLM
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# Provide absolute path and huggingface lora ids
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lora_fixture_name = ["sql_lora_files", "sql_lora_huggingface_id"]
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@pytest.mark.parametrize("lora_fixture_name", lora_fixture_name)
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def test_load_checkpoints_from_huggingface(lora_fixture_name, request):
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lora_name = request.getfixturevalue(lora_fixture_name)
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supported_lora_modules = LlamaForCausalLM.supported_lora_modules
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packed_modules_mapping = LlamaForCausalLM.packed_modules_mapping
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embedding_modules = LlamaForCausalLM.embedding_modules
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embed_padding_modules = LlamaForCausalLM.embedding_padding_modules
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expected_lora_modules: List[str] = []
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for module in supported_lora_modules:
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if module in packed_modules_mapping:
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expected_lora_modules.extend(packed_modules_mapping[module])
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else:
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expected_lora_modules.append(module)
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lora_path = get_adapter_absolute_path(lora_name)
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# lora loading should work for either absolute path and hugggingface id.
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lora_model = LoRAModel.from_local_checkpoint(
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lora_path,
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expected_lora_modules,
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lora_model_id=1,
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device="cpu",
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embedding_modules=embedding_modules,
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embedding_padding_modules=embed_padding_modules)
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# Assertions to ensure the model is loaded correctly
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assert lora_model is not None, "LoRAModel is not loaded correctly"
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