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vLLM/vllm/models/deepseek_v4/__init__.py
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Ma JianKunshang Jimergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
9d1c695be5 [XPU] Add DSpark speculative decoding support for DeepSeek-V4 (#47677)
Signed-off-by: Ma Jian <jian1.ma@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
2026-07-15 17:59:02 -07:00

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Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
"""DeepSeek V4 model — hardware-isolated entry point.
The actual implementation lives under ``nvidia/`` and ``amd/``; this module
picks the right one for the current platform and re-exports the public
classes used by the model registry and quantization config lookup.
"""
from vllm.platforms import current_platform
from .quant_config import DeepseekV4FP8Config
# Pick the per-platform implementation. The NVIDIA branch is the static
# default that mypy sees; the ROCm/XPU branches override at runtime and are
# kept type-compatible via ``# type: ignore[assignment]``.
if current_platform.is_rocm():
from .amd.dspark import ( # type: ignore[assignment]
DSparkDeepseekV4ForCausalLM,
)
from .amd.model import DeepseekV4ForCausalLM
from .amd.mtp import DeepSeekV4MTP
elif current_platform.is_xpu():
from .xpu.dspark import DSparkDeepseekV4ForCausalLM # type: ignore[assignment]
from .xpu.model import DeepseekV4ForCausalLM # type: ignore[assignment]
from .xpu.mtp import DeepSeekV4MTP # type: ignore[assignment]
else:
from .nvidia.dspark import ( # type: ignore[assignment]
DSparkDeepseekV4ForCausalLM,
)
from .nvidia.model import DeepseekV4ForCausalLM # type: ignore[assignment]
from .nvidia.mtp import DeepSeekV4MTP # type: ignore[assignment]
__all__ = [
"DSparkDeepseekV4ForCausalLM",
"DeepSeekV4MTP",
"DeepseekV4FP8Config",
"DeepseekV4ForCausalLM",
]