[GH-ISSUE #124] Is Multi-head Latent Attention used in DeepSeek-VL2 tiny? #102

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opened 2026-10-26 21:11:59 +00:00 by bsakaguchi · 0 comments
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Originally created by @niktheod on GitHub (Mar 31, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-VL2/issues/124

Hi and thank you for your great work,

In the paper you published in Table 1 it says that the tiny version of the model uses the original Multi-Head Attention and not MLA:

Image

However, when I run it locally I see the following module in the architecture:

Image

which is part of the vision model, which makes it even more confusing for me as I thought that MLA is applied in the language model.

Could you please clarify what this module is, as it is not part of the original siglip-so400m-patch14-384, which is supposed to be your vision backbone.

Originally created by @niktheod on GitHub (Mar 31, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-VL2/issues/124 Hi and thank you for your great work, In the paper you published in Table 1 it says that the tiny version of the model uses the original Multi-Head Attention and not MLA: ![Image](https://github.com/user-attachments/assets/5db9f629-1375-4cd5-b666-a248376e100d) However, when I run it locally I see the following module in the architecture: ![Image](https://github.com/user-attachments/assets/a9a0c1b5-c9ff-4556-9af3-2528ce6738ba) which is part of the vision model, which makes it even more confusing for me as I thought that MLA is applied in the language model. Could you please clarify what this module is, as it is not part of the original siglip-so400m-patch14-384, which is supposed to be your vision backbone.
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deepseek-ai/DeepSeek-VL2#102
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