Use PEFT or Full-parameter to finetune 350+ LLMs or 90+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
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Updated
Sep 19, 2024 - Python
Use PEFT or Full-parameter to finetune 350+ LLMs or 90+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-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-2B and Qwen2-VL-7B.
Colaboratory上でQwenLM/Qwen2-VLをお試しするサンプル
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
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