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AIbin
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
"""
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# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from __future__ import annotations
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from paddleformers.transformers import PretrainedModel
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from fastdeploy.model_executor.models.model_base import ModelCategory, ModelRegistry
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from fastdeploy.platforms import current_platform
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if current_platform.is_cuda() or current_platform.is_maca():
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pass
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from fastdeploy.model_executor.models.deepseek_v3 import DeepseekV32ForCausalLM
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@ModelRegistry.register_model_class(
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architecture="GlmMoeDsaForCausalLM",
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module_name="glm_moe_dsa",
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category=ModelCategory.TEXT_GENERATION,
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primary_use=ModelCategory.TEXT_GENERATION,
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)
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class GlmMoeDsaForCausalLM(DeepseekV32ForCausalLM):
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"""
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GlmMoeDsaForCausalLM - GLM-5 with MLA/DSA attention
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"""
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@classmethod
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def name(cls):
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""" """
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return "GlmMoeDsaForCausalLM"
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class GlmMoeDsaPretrainedModel(PretrainedModel):
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"""
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GlmMoeDsaPretrainedModel
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"""
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@classmethod
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def arch_name(self):
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return "GlmMoeDsaForCausalLM"
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