43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
"""
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vLLM-Omni: Multi-modality models inference and serving with
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non-autoregressive structures.
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This package extends vLLM beyond traditional text-based, autoregressive
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generation to support multi-modality models with non-autoregressive
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structures and non-textual outputs.
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Architecture:
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- 🟡 Modified: vLLM components modified for multimodal support
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- 🔴 Added: New components for multimodal and non-autoregressive
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processing
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"""
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try:
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from . import patch # noqa: F401
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except ModuleNotFoundError as exc: # pragma: no cover - optional dependency
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if exc.name != "vllm":
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raise
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# Allow importing vllm_omni without vllm (e.g., documentation builds)
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patch = None # type: ignore
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from .config import OmniModelConfig
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from .entrypoints.async_omni import AsyncOmni
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# Main entry points
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from .entrypoints.omni import Omni
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from .version import __version__, __version_tuple__ # isort:skip
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__all__ = [
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"__version__",
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"__version_tuple__",
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# Main components
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"Omni",
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"AsyncOmni",
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# Configuration
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"OmniModelConfig",
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# All other components are available through their respective modules
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# processors.*, schedulers.*, executors.*, etc.
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]
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