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Basic Visual Language Model

For the Chinese version of the README, please refer to 中文文档.

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Other
File size
41.0–728 MB
Version
vRevision a6334e8
Updated
Oct 16, 2026
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0
Source
Hugging Face

Source description

Building Your Own Multimodal Large Model from Scratch

For the Chinese version of the README, please refer to 中文文档.

Model Architecture 🤖

In the VLM (Visual Language Model), the visual component utilizes the CLIP or SIGLIP models, which have already achieved preliminary semantic alignment. A two-layer MLP is used for feature mapping. By overriding the forward method of the QWenModel, the corresponding image tokens are replaced with visual features.

GitHub Repository 🏠

The code for running the model can be found at Basic-Visual-Language-Model.

References 📚

Special thanks to the following projects for their great work 🙌:

Contact ✉

If you have any questions or ideas, feel free to reach out to me 😊:

[email protected]

I will respond as soon as I see your email!

Sources

1 source
Hugging FacePrimaryVersion a6334e8c4386bfe2287dda4759bd37b219e1e6ca
huggingface.co/xinyanghuang/Basic-Visual-Language-Model/tree/a6334e8c4386bfe2287dda4759bd37b219e1e6ca

Verified Aug 28

Model artifacts

4 artifacts

checkpoint-19000/checkpoint-19000/adapter_model.bin

bin · 728 MB · SHA-256 d0b0d273c5dc…8ee2 · Hugging Face

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checkpoint-19000/checkpoint-19000/other_params.bin

bin · 41.0 MB · SHA-256 7db2025e8322…d821 · Hugging Face

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checkpoint-36000/checkpoint-36000/adapter_model.bin

bin · 728 MB · SHA-256 bab67b05b624…335c · Hugging Face

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checkpoint-36000/checkpoint-36000/other_params.bin

bin · 41.0 MB · SHA-256 620d634331b2…3cea · Hugging Face

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Source excerpts

2 excerpts

--- license: apache-2.0 pipeline_tag: visual-question-answering --- # Building Your Own Multimodal Large Model from Scratch For the Chinese version of the README, please refer to [中文文档](README_zh.md). ## Model Architecture 🤖 In the VLM (Visual Language Model), the visual component utilizes the `CLIP` or `SIGLIP` models, which have already achieved preliminary semantic alignment. A two-layer MLP is used for feature mapping. By overriding the `forward` method of the `QWenModel`, the corresponding `image` tokens are replaced with visual features. ## GitHub Repository 🏠 The code for running the model can be found at [Basic-Visual-Language-Model](https://github.com/xinyanghuang7/Basic-Visual-Language-Model/tree/main). ## References 📚 Special thanks to the following projects for their great work 🙌: - https://github.com/WatchTower-Liu/VLM-learning/tree/main - https://github.com/QwenLM/Qwen - https://github.com/haotian-liu/LLaVA ## Contact ✉ If you have any questions or ideas, feel free to reach out to me 😊: [email protected] I will respond as soon as I see your email!

Source context: 0 downloads · 1 likes · Pipeline visual-question-answering · Repo xinyanghuang/Basic-Visual-Language-Model