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GLM-4 Update #20736

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GLM-4 Update #20736

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GLM-4 Update of Moe Support

Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
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Summary of Changes

Hello @zRzRzRzRzRzRzR, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces comprehensive support for the GLM-4 Mixture-of-Experts (MoE) model within vLLM. It provides the full architectural implementation, including specialized MoE components, and integrates the new model into the existing benchmarking and model loading infrastructure.

Highlights

  • New Model Support: I've added the complete implementation for the Glm4MoeForCausalLM model architecture, enabling vLLM to support GLM-4 Mixture-of-Experts models.
  • Mixture-of-Experts (MoE) Implementation: The new glm4_moe.py file includes custom components like Glm4MoeTopkRouter for expert selection and Glm4MoeSparseMoeBlock to handle the specific routing and shared expert mechanisms of GLM-4's MoE architecture.
  • System Integration: Updates were made to the MoE benchmarking script (benchmark_moe.py) and the model registry (registry.py) to properly recognize and integrate the new Glm4MoeForCausalLM model within vLLM's ecosystem.
  • Weight Loading Logic: The new model implementation includes robust weight loading logic to correctly map and load parameters from HuggingFace checkpoints, covering stacked linear layers (QKV, gate/up projections) and individual expert weights.
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@mergify mergify bot added the performance Performance-related issues label Jul 10, 2025
Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
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Code Review

The pull request adds support for GLM-4 MoE models to vLLM. The changes include modifying the benchmark script to include GLM-4 MoE, adding the GLM-4 MoE model to the model registry, and creating a new file for the GLM-4 MoE model architecture. There's a potential typo in the benchmark script that needs to be addressed, and the model path in the registry should be a real model name.

Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
@mergify mergify bot added the new-model Requests to new models label Jul 10, 2025
Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
Signed-off-by: zRzRzRzRzRzRzR <2448370773@qq.com>
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Thank you, we also need to update the document.

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Thank you, we also need to update the document.

Thank you, we also need to update the document.

you mean supported_models.md, isnt it generate auto?

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Thank you, we also need to update the document.

Thank you, we also need to update the document.

you mean supported_models.md, isnt it generate auto?

Yes, we need to update manually.

Isotr0py and others added 2 commits July 12, 2025 22:28
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We also have the MTP model, but if this PR meets the requirements, it can be merged first. The implementation of MTP can be proposed in a separate PR.

@zRzRzRzRzRzRzR zRzRzRzRzRzRzR requested a review from hmellor as a code owner July 13, 2025 16:02
@mergify mergify bot added the documentation Improvements or additions to documentation label Jul 13, 2025
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