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added mtp support for hybrid models and fixed some small bugs

Open rkarimimahab opened this issue 1 month ago • 1 comments

What does this PR do ?

This PR adds MTP support for hybrid models and allow GPT model also make hyrbid models2.

:warning: For major changes (either in lines of code or in its impact), please make sure to first share discuss a design-doc with the team.

Contribution process

flowchart LR
    A[Pre-checks] --> B[PR Tests]
    subgraph Code Review/Approval
        C1[Expert Review] --> C2[Final Review]
    end
    B --> C1
    C2 --> D[Merge]

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  • [ ] I have added relevant unit tests
  • [ ] I have added relevant functional tests
  • [ ] I have added proper typing to my code Typing guidelines
  • [ ] I have added relevant documentation
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rkarimimahab avatar Nov 23 '25 11:11 rkarimimahab

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copy-pr-bot[bot] avatar Nov 23 '25 11:11 copy-pr-bot[bot]

This pr implements three features: (1) supporting to use Mamba layer as mtp_model_layer. (2) splitting the MTP loss calculation in the GPT model’s forward pass into a separate function. (3) supporting MTP layer repetition. I have no concerns about the implementation of the first two features. As for the last feature, we need to consider how to support scenarios where multiple MTP layers are placed on different PP ranks for computation. These MTP layers share the same parameters value, but be placed onto different vpp stage, in order to make sure each vpp stage do not have much computation task. Maybe we can use assert to guide users can not place mtp layers into different vpp stage currently, and support this feature in future.

shifangx avatar Dec 08 '25 01:12 shifangx

This pr implements three features: (1) supporting to use Mamba layer as mtp_model_layer. (2) splitting the MTP loss calculation in the GPT model’s forward pass into a separate function. (3) supporting MTP layer repetition. I have no concerns about the implementation of the first two features. As for the last feature, we need to consider how to support scenarios where multiple MTP layers are placed on different PP ranks for computation. These MTP layers share the same parameters value, but be placed onto different vpp stage, in order to make sure each vpp stage do not have much computation task. Maybe we can use assert to guide users can not place mtp layers into different vpp stage currently, and support this feature in future.

This is a good point. Let's go with the assertion for now re: 3.

deepakn94 avatar Dec 08 '25 18:12 deepakn94

This is a good point. Let's go with the assertion for now re: 3.

I added the assert, thanks!

rkarimimahab avatar Dec 09 '25 13:12 rkarimimahab

/ok to test cb77b0ef5663702121176e0fdaf081bd59461192

deepakn94 avatar Dec 21 '25 17:12 deepakn94

Thank you for your contribution!

NVIDIA Megatron-LM is currently transitioning to development on Github. We will aim to review your PR after we complete our transition and stabilize our Github development process.

Thank you for your understanding.

github-actions[bot] avatar Dec 21 '25 17:12 github-actions[bot]