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24 lines
988 B
Markdown
24 lines
988 B
Markdown
# Model Resolution
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vLLM loads HuggingFace-compatible models by inspecting the `architectures` field in `config.json` of the model repository
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and finding the corresponding implementation that is registered to vLLM.
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Nevertheless, our model resolution may fail for the following reasons:
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- The `config.json` of the model repository lacks the `architectures` field.
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- Unofficial repositories refer to a model using alternative names which are not recorded in vLLM.
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- The same architecture name is used for multiple models, creating ambiguity as to which model should be loaded.
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To fix this, explicitly specify the model architecture by passing `config.json` overrides to the `hf_overrides` option.
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For example:
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```python
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from vllm import LLM
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llm = LLM(
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model="cerebras/Cerebras-GPT-1.3B",
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hf_overrides={"architectures": ["GPT2LMHeadModel"]}, # GPT-2
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)
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```
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Our [list of supported models](../models/supported_models.md) shows the model architectures that are recognized by vLLM.
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