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MPP-LLaVA
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MPP-LLaVA

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24

by Coobiw · GitHub
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deepspeedfine-tuningmllmJupyter Notebook
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In plain words

Train your own multimodal AI model that can understand and respond to images and videos.

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MPP-LLaVA — GitHub preview card
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686685
2026-07-202026-08-31
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📄 About

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24

MPP-LLaVA has 685 stars on GitHub. It has been forked 34 times. MPP-LLaVA is written mainly in Jupyter Notebook. It has been in active development since 2023. Its main topics are deepspeed, fine-tuning, mllm, model-parallel.

Frequently asked questions

What is MPP-LLaVA?

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24

Is MPP-LLaVA open source?

MPP-LLaVA is an open-source project.

Is MPP-LLaVA free?

Yes. MPP-LLaVA is free and open source — you can use, modify and self-host it.

What language is MPP-LLaVA written in?

MPP-LLaVA is written mainly in Jupyter Notebook.

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