lmms-finetune
A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.
Finetune large AI models with minimal setup and effort.
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Free · no card · unsubscribe anytimeA minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.
lmms-finetune has 373 stars on GitHub. It has been forked 44 times. lmms-finetune is written mainly in Python. It has been in active development since 2024. lmms-finetune is available under the Apache-2.0 license. Its main topics are finetuning, foundation-models, instruction-tuning, large-language-model.
What is lmms-finetune?
A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.
Is lmms-finetune open source?
lmms-finetune is an open-source project. It is released under the Apache-2.0 license.
Is lmms-finetune free?
Yes. lmms-finetune is free and open source — you can use, modify and self-host it.
What license does lmms-finetune use?
lmms-finetune is available under the Apache-2.0 license.
What language is lmms-finetune written in?
lmms-finetune is written mainly in Python.
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