{"id":86709,"date":"2026-07-29T05:56:23","date_gmt":"2026-07-28T21:56:23","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/86709.html"},"modified":"2026-07-29T05:56:23","modified_gmt":"2026-07-28T21:56:23","slug":"msswiftqwen3-vl-8b%e6%a0%b7%e4%be%8b%e9%85%8d%e7%bd%ae%e8%bf%90%e8%a1%8c%e6%ad%a5%e9%aa%a4%ef%bc%88%e6%98%87%e8%85%be%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/86709.html","title":{"rendered":"msswift+qwen3-vl-8b\u6837\u4f8b\u914d\u7f6e\u8fd0\u884c\u6b65\u9aa4\uff08\u6607\u817e\u670d\u52a1\u5668\uff09"},"content":{"rendered":"

\u535a\u4e3b\u7528\u7684\u534e\u4e3a\u6607\u817e910b\u670d\u52a1\u5668，\u6240\u4ee5\u751f\u6001\u504f\u534e\u4e3a\u3002<\/p>\n

swift\u5b98\u65b9\u6587\u6863\u5730\u5740：SWIFT\u5b89\u88c5 \u2014 swift 3.9.0.dev0 \u6587\u6863<\/p>\n

\u4e00\u3001\u5b89\u88c5miniconda\u5230\u4e2a\u4eba\u76ee\u5f55\u5e76\u914d\u7f6e<\/p>\n

miniconda\u5b98\u7f51\u5730\u5740：Installing Miniconda – Anaconda<\/p>\n

（\u9009\u62e9Linux，\u8bb0\u5f97\u4fee\u6539\u8def\u5f84\u4e3a\u4e2a\u4eba\u76ee\u5f55，\u5426\u5219\u5bb9\u6613\u6c61\u67d3\u670d\u52a1\u5668）<\/p>\n

# \u8fdb\u5165\u4e2a\u4eba\u76ee\u5f55
\ncd \/\u4e2a\u4eba\u6587\u4ef6\u5939\u8def\u5f84<\/p>\n

# \u521b\u5efaminiconda\u6587\u4ef6\u5939
\nmkdir -p \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3<\/p>\n

# \u4e0b\u8f7dminiconda
\nwget https:\/\/repo.anaconda.com\/miniconda\/Miniconda3-latest-Linux-x86_64.sh -O \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3\/miniconda.sh<\/p>\n

# \u5b89\u88c5\u5230\u4e2a\u4eba\u76ee\u5f55
\nbash \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3\/miniconda.sh -b -u -p \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3<\/p>\n

# \u5220\u9664\u5b89\u88c5\u811a\u672c
\nrm \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3\/miniconda.sh<\/p>\n

# \u6dfb\u52a0\u5230\u60a8\u7684 bashrc（\u914d\u7f6e\u73af\u5883\u53d8\u91cf）
\necho 'export PATH="\/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/miniconda3\/bin:$PATH"' >> \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/.bashrc
\nsource \/\u4e2a\u4eba\u76ee\u5f55\u8def\u5f84\/.bashrc<\/p>\n

# \u9a8c\u8bc1\u5b89\u88c5
\nconda –version <\/p>\n

\u4e8c\u3001\u521b\u5efaconda\u865a\u62df\u73af\u5883<\/p>\n

# \u521b\u5efa\u540d\u4e3a my_swift \u7684\u73af\u5883，\u6307\u5b9a Python 3.10
\nconda create -n swift_py310 python=3.10 -y<\/p>\n

#\u6fc0\u6d3b\u73af\u5883
\nconda activate swift_py310 <\/p>\n

\u4ee5\u4e0b\u662f\u535a\u4e3b\u4e2a\u4eba\u7b14\u8bb0，\u65e8\u5728\u533a\u5206python\u865a\u62df\u673a\u548cconda\u865a\u62df\u673a，\u4e0d\u7528\u952e\u5165：<\/p>\n

#\u4ee5\u4e0b\u662f\u535a\u4e3b\u4e2a\u4eba\u7b14\u8bb0，\u65e8\u5728\u533a\u5206python\u865a\u62df\u673a\u548cconda\u865a\u62df\u673a，\u4e0d\u7528\u952e\u5165<\/p>\n

#\u4f7f\u7528\u7cfb\u7edfpython\u521b\u5efa\u865a\u62df\u73af\u5883
\npython3.10 -m venv msswift_env<\/p>\n

#\u6fc0\u6d3b\u73af\u5883
\nsource msswift_env\/bin\/activate<\/p>\n

#\u9a8c\u8bc1\u6fc0\u6d3b（\u547d\u4ee4\u884c\u524d\u5e94\u8be5\u663e\u793amsswift_env）
\npython –version
\npip –version <\/p>\n

\u9644\u4e0a\u865a\u62df\u73af\u5883\u5220\u9664\u6307\u4ee4，\u4ee5\u5907\u9700\u8981：<\/p>\n

#\u5148\u9000\u51fa\u865a\u62df\u73af\u5883
\nconda deactivate<\/p>\n

#\u518d\u5220\u9664
\nconda remove -n swift_py310 –all -y <\/p>\n

\u4e09\u3001\u5b89\u88c5PyTorch\u548ctorch_npu<\/span><\/p>\n

\u6607\u817e\u793e\u533apytorch\u5b89\u88c5\u6587\u6863：<\/span><\/p>\n

\u5b89\u88c5\u524d\u51c6\u5907-Ascend Extension for PyTorch7.1.0-\u6607\u817e\u793e\u533a<\/p>\n<\/p>\n

\u6211\u7684\u73af\u5883\u914d\u7f6e\u662f：<\/p>\n

CANN 8.2.RC1 + python 3.10+AArch64\u67b6\u6784+Driver 25.2 + torch\/torch-npu 2.5.1<\/span><\/p>\n

#\u4e0b\u8f7dtorch\u548ctorch_npu
\n\/\u4f60\u7684conda\u865a\u62df\u73af\u5883\u8def\u5f84\/bin\/pip install torch==2.5.1 torch_npu==2.5.1<\/p>\n

#\u9a8c\u8bc1npu
\npython -c "
\nimport torch
\nprint('=== \u5b89\u88c5\u9a8c\u8bc1 ===')
\nprint('PyTorch\u7248\u672c:', torch.__version__)
\nprint('NPU\u652f\u6301:', hasattr(torch, 'npu'))
\nif hasattr(torch, 'npu'):
\n print('NPU\u53ef\u7528:', torch.npu.is_available())
\n print('NPU\u8bbe\u5907\u6570:', torch.npu.device_count())
\n"<\/p>\n

\u8fd9\u91cc\u53ef\u80fd\u4f1a\u9047\u5230\u5f88\u591a\u4f9d\u8d56\u7f3a\u5931\u7684\u95ee\u9898，\u6309\u7167\u62a5\u9519\u4e0b\u8f7d\u4f9d\u8d56\u5c31\u597d\u3002<\/p>\n

\u56db\u3001msswift\u5b89\u88c5（\u8fd9\u91cc\u7528\u7684\u6e90\u4ee3\u7801\u5b89\u88c5）<\/p>\n

\u5feb\u901f\u5f00\u59cb \u2014 swift 3.2.0.dev0 \u6587\u6863<\/p>\n

git clone https:\/\/github.com\/modelscope\/ms-swift.git
\ncd ms-swift
\npython -m pip install -e . -i https:\/\/repo.huaweicloud.com\/repository\/pypi\/simple\/<\/p>\n

\u9a8c\u8bc1\u5b89\u88c5\u6210\u529f：<\/p>\n

python -c "import swift; print('=== swift \u5b89\u88c5\u6210\u529f ===')" <\/p>\n

\u5982\u679c\u7528pip install -e .\u53ef\u80fd\u6709\u7f3a\u5931\u5305\u62a5\u9519，\u53ef\u4ee5\u7528\u534e\u4e3a\u955c\u50cf\u624b\u52a8\u4e0b\u8f7d\u4e00\u4e0b：<\/p>\n

\"\"<\/p>\n

（\u628aattrdict\u66ff\u6362\u6210\u5bf9\u5e94\u7684\u5305\u540d\u5c31\u884c）<\/p>\n

pip install attrdict -i https:\/\/repo.huaweicloud.com\/rep
\nository\/pypi\/simple\/ <\/p>\n

\u4e94\u3001qwen3-vl-8b\u6a21\u578b\u4e0b\u8f7d<\/p>\n

\u901a\u4e49\u5343\u95ee3-VL-8B-Instruct \u00b7 \u6a21\u578b\u5e93<\/p>\n

#\u5b89\u88c5 ModelScope（\u5fc5\u987b）
\npython -m pip install modelscope -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/p>\n

#\u4e0b\u8f7d\u5b8c\u6574\u6a21\u578b\u5e93
\nmodelscope download –model Qwen\/Qwen3-VL-8B-Instruct<\/p>\n

#\u4e0b\u8f7d\u5355\u4e2a\u6587\u4ef6\u5230\u6307\u5b9a\u672c\u5730\u6587\u4ef6\u5939（\u4ee5\u4e0b\u8f7dREADME.md\u5230\u5f53\u524d\u8def\u5f84\u4e0b\u201cdir\u201d\u76ee\u5f55\u4e3a\u4f8b）
\nmodelscope download –model Qwen\/Qwen3-VL-8B-Instruct README.md –local_dir .\/dir <\/p>\n

\u516d\u3001\u6d4b\u8bd5\u6837\u4f8b<\/p>\n

#\u521b\u5efa\u6d4b\u8bd5\u811a\u672c（esc + ：wq\u4fdd\u5b58\u9000\u51fa）
\nvi test.sh
\n#\u811a\u672c\u5185\u5bb9
\nexport ASCEND_RT_VISIBLE_DEVICES=1<\/p>\n

swift sft \\\\
\n–model \/root\/.cache\/modelscope\/hub\/models\/Qwen\/Qwen3-VL-8B-Instruct \\\\
\n–train_type lora \\\\
\n–dataset .\/test_mini.json \\\\
\n–max_length 256 \\\\
\n–torch_dtype float16 \\\\
\n–num_train_epochs 0.0001 \\\\
\n–output_dir .\/output\/qwen3vl_test \\\\
\n–dataloader_num_workers 0 \\\\
\n–per_device_train_batch_size 1 \\\\
\n–logging_steps 1<\/p>\n

#\u521b\u5efa\u6570\u636e\u96c6
\ncat > test_mini.json << 'EOF'
\n[
\n {"instruction": "\u4f60\u597d", "input": "", "output": "\u4f60\u597d！"},
\n {"instruction": "1+1\u7b49\u4e8e\u51e0", "input": "", "output": "\u7b49\u4e8e2"}
\n]
\nEOF<\/p>\n

#\u6388\u6743
\nchmod +x test.sh<\/p>\n

#\u8fd0\u884c
\n.\/test.sh <\/p>\n

\u4e03\u3001\u67e5\u770b\u8bad\u7ec3\u8fc7\u7a0b<\/p>\n

# \u542f\u52a8 TensorBoard \u67e5\u770b\u8bad\u7ec3\u8fc7\u7a0b
\ntensorboard –logdir \u4f60\u7684\u8f93\u51fa\u6587\u4ef6\u8def\u5f84，\u4f8b\u5982output\/qwen3vl_test\/v0-20251021-122337\/runs<\/p>\n

\"\"<\/p>\n

\u4e3b\u8981\u770b\u4e0b\u5217\u6307\u6807（\u6d4b\u8bd5\u6837\u4f8b\u5f88\u5c0f，\u6ca1\u6709\u66f2\u7ebf\u5f88\u6b63\u5e38）：<\/p>\n

\u2705 train\/loss – \u5e94\u8be5\u6301\u7eed\u4e0b\u964d
\n\u2705 eval\/loss – \u5e94\u8be5\u540c\u6b65\u4e0b\u964d（\u5982\u679c\u6709）
\n\u2705 learning_rate – \u6309\u9884\u671f\u8c03\u5ea6 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u535a\u4e3b\u7528\u7684\u534e\u4e3a\u6607\u817e910b\u670d\u52a1\u5668，\u6240\u4ee5\u751f\u6001\u504f\u534e\u4e3a\u3002
\nswift\u5b98\u65b9\u6587\u6863\u5730\u5740：SWIFT\u5b89\u88c5 \u2014 swift 3.9.0.dev0 \u6587\u6863
\n\u4e00\u3001\u5b89\u88c5miniconda\u5230\u4e2a\u4eba\u76ee\u5f55\u5e76\u914d\u7f6e
\nminiconda\u5b98\u7f51\u5730\u5740：Installing Miniconda – Anaconda
\n（\u9009\u62e9Linux，\u8bb0\u5f97\u4fee\u6539\u8def\u5f84\u4e3a\u4e2a\u4eba\u76ee\u5f55，\u5426\u5219\u5bb9\u6613\u6c61\u67d3\u670d\u52a1\u5668）
\n# \u8fdb\u5165\u4e2a\u4eba\u76ee\u5f55
\ncd \/\u4e2a\u4eba\u6587\u4ef6\u5939\u8def<\/p>\n","protected":false},"author":2,"featured_media":86707,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[6264,5743,5706,132,1510],"topic":[],"class_list":["post-86709","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-swift","tag-qwen3","tag-5706","tag-132","tag-1510"],"yoast_head":"\nmsswift+qwen3-vl-8b\u6837\u4f8b\u914d\u7f6e\u8fd0\u884c\u6b65\u9aa4\uff08\u6607\u817e\u670d\u52a1\u5668\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/86709.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"msswift+qwen3-vl-8b\u6837\u4f8b\u914d\u7f6e\u8fd0\u884c\u6b65\u9aa4\uff08\u6607\u817e\u670d\u52a1\u5668\uff09 - 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