A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 14, 05:30 UTC
Fix MiniMax-M2 copyright (#27537)
Signed-off-by: xuebi <xuebi@minimaxi.com> Co-authored-by: xuebi <xuebi@minimaxi.com>
Roger Young committed
Oct 27, 2025 at 11:29 UTC
5980604c44d8b25f700b7a3dbdbb1a6c345a708f
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vllm/model_executor/models/minimax_m2.py
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@@ -1,10 +1,9 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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-# Adapted from
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-# https://github.com/huggingface/transformers/blob/v4.28.0/src/transformers/models/llama/modeling_llama.py
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+# Copyright 2025 The MiniMax AI team.
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# Copyright 2023 The vLLM team.
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-# Copyright 2023 DeepSeek-AI and the HuggingFace Inc. team. All rights reserved.
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+# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
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#
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# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
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# and OPT implementations in this library. It has been modified from its