https://github.com/buaadreamer/mllm-finetuning-demo
使用LLaMA-Factory微调多模态大语言模型的示例代码 Demo of Finetuning Multimodal LLM with LLaMA-Factory
Science Score: 13.0%
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使用LLaMA-Factory微调多模态大语言模型的示例代码 Demo of Finetuning Multimodal LLM with LLaMA-Factory
Basic Info
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- Stars: 32
- Watchers: 1
- Forks: 2
- Open Issues: 2
- Releases: 0
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Metadata Files
README.md
MLLM-Finetuning-Demo
安装LLaMA-Factory
shell
git clone https://github.com/hiyouga/LLaMA-Factory.git
cd LLaMA-Factory
pip install -e .[torch,metrics]
cd .. # 回到项目根目录
预训练
LLaVA中的特征对齐,冻结language_model和vision_tower,只微调multi_modal_projector。
shell
CUDA_VISIBLE_DEVICES=0 llamafactory-cli train config/llava_pt.yaml
微调
shell
CUDA_VISIBLE_DEVICES=0 llamafactory-cli train config/llava_lora_sft.yaml
网页聊天
shell
CUDA_VISIBLE_DEVICES=0 llamafactory-cli webchat \
--model_name_or_path llava-hf/llava-1.5-7b-hf \
--adapter_name_or_path saves/llava1_5-7b/lora/sft \
--template llava
上传数据集到Huggingface
请在 upload_dataset.py 中替换您自己的key.
shell
python3 upload_dataset.py
导出和上传模型到huggingface
请在 config/llava_lora_sft_export.yaml 中替换您自己的 export_hub_model_id 和 hf_hub_token.
shell
CUDA_VISIBLE_DEVICES=0 llamafactory-cli export config/llava_lora_sft_export.yaml
Owner
- Login: BUAADreamer
- Kind: user
- Location: Beijing
- Company: Beihang University
- Website: https://buaadreamer.top/
- Repositories: 4
- Profile: https://github.com/BUAADreamer
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Last synced: 11 months ago
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- Shajiu (2)