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694c142b89
* Add provider deprecation support; change directory structure * fix a couple dangling imports * move the meta_reference safety dir also
46 lines
1.5 KiB
Python
46 lines
1.5 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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from llama_models.schema_utils import json_schema_type
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from llama_stack.providers.utils.inference import supported_inference_models
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from pydantic import BaseModel, Field, field_validator
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@json_schema_type
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class VLLMConfig(BaseModel):
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"""Configuration for the vLLM inference provider."""
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model: str = Field(
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default="Llama3.2-3B-Instruct",
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description="Model descriptor from `llama model list`",
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)
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tensor_parallel_size: int = Field(
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default=1,
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description="Number of tensor parallel replicas (number of GPUs to use).",
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)
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max_tokens: int = Field(
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default=4096,
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description="Maximum number of tokens to generate.",
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)
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enforce_eager: bool = Field(
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default=False,
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description="Whether to use eager mode for inference (otherwise cuda graphs are used).",
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)
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gpu_memory_utilization: float = Field(
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default=0.3,
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)
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@field_validator("model")
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@classmethod
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def validate_model(cls, model: str) -> str:
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permitted_models = supported_inference_models()
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if model not in permitted_models:
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model_list = "\n\t".join(permitted_models)
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raise ValueError(
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f"Unknown model: `{model}`. Choose from [\n\t{model_list}\n]"
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)
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return model
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