Use PEFT or Full-parameter to finetune 350+ LLMs or 90+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, Gemma2, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)

Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

An open-source implementaion for fine-tuning Qwen2-VL series by Alibaba Cloud.

视频理解：千问视频多模态模型 & Dify

一个快速构建多智能体AI应用的框架，针对写作场景和对话场景优化。

Colaboratory上でQwenLM/Qwen2-VLをお試しするサンプル

Running Large Language Model easily.

Qwen2-VL在文旅领域的LLaMA-Factory微调案例 The case for fine-tuning Qwen2-VL in the field of historical literature and museums

OCR and Document Search Web Application

practical projects using LLM, VLM and Diffusion models