Signed-off-by: youkaichao <youkaichao@gmail.com> Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn> Signed-off-by: Bugen Zhao <i@bugenzhao.com> Signed-off-by: Jee Jee Li <pandaleefree@gmail.com> Signed-off-by: functionstackx <47992694+functionstackx@users.noreply.github.com> Signed-off-by: Yongye Zhu <zyy1102000@gmail.com> Signed-off-by: Jee Jee Li <jeejeelee@inferact.ai> Co-authored-by: OpenAI Codex <codex@openai.com> Co-authored-by: Isotr0py <mozf@mail2.sysu.edu.cn> Co-authored-by: Thien Tran <gau.nernst@yahoo.com.sg> Co-authored-by: Bugen Zhao <i@bugenzhao.com> Co-authored-by: Jee Jee Li <pandaleefree@gmail.com> Co-authored-by: Roger Wang <hey@rogerw.io> Co-authored-by: functionstackx <47992694+functionstackx@users.noreply.github.com> Co-authored-by: Yongye Zhu <zyy1102000@gmail.com> Co-authored-by: Jee Jee Li <jeejeelee@inferact.ai>
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""MiniMax M3 model — hardware-isolated entry point.
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The implementation lives under ``nvidia/`` and ``amd/``; this module picks the
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right one for the current platform and re-exports the public classes used by
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the model registry. (Mirrors ``vllm.models.deepseek_v4``.)
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"""
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from typing import TYPE_CHECKING
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from vllm.platforms import current_platform
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# The NVIDIA branch is the static default that type-checkers see; the ROCm
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# branch overrides it at runtime (kept type-compatible via type: ignore).
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if TYPE_CHECKING or not current_platform.is_rocm():
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from .nvidia.model import (
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MiniMaxM3SparseForCausalLM,
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MiniMaxM3SparseForConditionalGeneration,
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)
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from .nvidia.mtp import MiniMaxM3MTP
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else:
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from .amd.model import ( # type: ignore[assignment]
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MiniMaxM3SparseForCausalLM,
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MiniMaxM3SparseForConditionalGeneration,
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)
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from .amd.mtp import MiniMaxM3MTP # type: ignore[assignment]
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__all__ = [
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"MiniMaxM3MTP",
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"MiniMaxM3SparseForCausalLM",
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"MiniMaxM3SparseForConditionalGeneration",
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]
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