{"id":44130,"date":"2025-06-17T07:45:48","date_gmt":"2025-06-16T23:45:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/44130.html"},"modified":"2025-06-17T07:45:48","modified_gmt":"2025-06-16T23:45:48","slug":"%e5%9f%ba%e4%ba%8e%e6%98%87%e8%85%benpu910b%e6%9c%8d%e5%8a%a1%e5%99%a8deepseek-r1-0528%e6%a8%a1%e5%9e%8b%e6%9d%83%e9%87%8dbf16%e7%b2%be%e5%ba%a6%e8%bd%acint8%e7%b2%be%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/44130.html","title":{"rendered":"\u57fa\u4e8e\u6607\u817eNPU910B\u670d\u52a1\u5668DeepSeek-R1-0528\u6a21\u578b\u6743\u91cdBF16\u7cbe\u5ea6\u8f6cINT8\u7cbe\u5ea6"},"content":{"rendered":"

\u00a0 \u00a0 \u00a0 \u00a0 \u6607\u817eNPU910B\u670d\u52a1\u5668\u76ee\u524d\u4e0d\u652f\u6301\u6a21\u578bFP8\u7cbe\u5ea6\u63a8\u7406，\u4e3a\u4e86\u8fdb\u4e00\u6b65\u63d0\u9ad8\u57fa\u4e8eDeepSeek-R1-0528\u6a21\u578b\u63a8\u7406\u6027\u80fd，\u9700\u8981\u5c06DeepSeek-R1-0528\u6a21\u578b\u6743\u91cdBF16\u8f6cINT8\u6743\u91cd，\u7136\u540e\u57fa\u4e8eDeepSeek-R1-0528\u6743\u91cdINT8\u7cbe\u5ea6\u8fdb\u884c\u63a8\u7406，\u6743\u91cd\u7cbe\u5ea6\u7684\u8f6c\u6362\u57fa\u7840\u73af\u5883\u57fa\u4e8e\u6607\u817eMindIE\u955c\u50cf\u3002<\/p>\n

MindStudio ModelSlim\u91cf\u5316\u5de5\u5177\u4ecb\u7ecd<\/h3>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u6607\u817e\u6a21\u578b\u538b\u7f29\u52a0\u901f\u5de5\u5177：\u4e00\u4e2a\u4ee5\u52a0\u901f\u4e3a\u76ee\u6807\u3001\u538b\u7f29\u4e3a\u6280\u672f\u3001\u6607\u817e\u4e3a\u6839\u672c\u7684\u4eb2\u548c\u538b\u7f29\u5de5\u5177\u3002\u652f\u6301\u8bad\u7ec3\u52a0\u901f\u548c\u63a8\u7406\u52a0\u901f，\u5305\u62ec\u6a21\u578b\u4f4e\u79e9\u5206\u89e3\u3001\u7a00\u758f\u8bad\u7ec3\u3001\u8bad\u7ec3\u540e\u91cf\u5316\u3001\u91cf\u5316\u611f\u77e5\u8bad\u7ec3\u7b49\u529f\u80fd，\u6607\u817eAI\u6a21\u578b\u5f00\u53d1\u7528\u6237\u53ef\u4ee5\u7075\u6d3b\u8c03\u7528Python API\u63a5\u53e3，\u5bf9\u6a21\u578b\u8fdb\u884c\u6027\u80fd\u8c03\u4f18，\u5e76\u652f\u6301\u5bfc\u51fa\u4e0d\u540c\u683c\u5f0f\u6a21\u578b，\u5728\u6607\u817eAI\u5904\u7406\u5668\u4e0a\u8fd0\u884c\u3002<\/p>\n

\u914d\u7f6e\u73af\u5883<\/h3>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u57fa\u4e8e2.xx-800I-A2-py311-openeuler24.03-lts\u955c\u50cf\u73af\u5883，\u4f7f\u7528MindStudio ModelSlim\u5de5\u5177\u8fdb\u884cDeepSeek-R1-0528\u6743\u91cd\u7cbe\u5ea6INT8\u91cf\u5316，\u5e76\u4e14\u672c\u6b21\u6a21\u578b\u8f6c\u6362\u662f\u5728\u79bb\u7ebf\u7684\u73af\u5883\u4e2d\u8fdb\u884c\u3002<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0（1）\u4e0b\u8f7dMindStudio ModelSlim\u6607\u817e\u6a21\u578b\u538b\u7f29\u5de5\u5177：<\/p>\n

MindStudio ModelSlim\u4e0b\u8f7d\u8def\u5f84\u5982\u4e0b\u6240\u793a：<\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0https:\/\/gitee.com\/ascend\/msit\/tree\/br_noncom_MindStudio_8.0.0_POC_20251231<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0（2）\u642d\u5efa\u6a21\u578b\u91cf\u5316\u73af\u5883，\u542f\u52a8\u5bb9\u5668，\u542f\u52a8\u547d\u4ee4\u5982\u4e0b：<\/p>\n

docker run -itd \u00a0–privileged \u00a0–name=deepseek –net=host \u00a0–shm-size 500g \\\\<\/p>\n

\u00a0\u00a0\u00a0–device=\/dev\/davinci0 \u00a0–device=\/dev\/davinci1 –device=\/dev\/davinci2 \\\\<\/p>\n

\u00a0\u00a0\u00a0–device=\/dev\/davinci3 –device=\/dev\/davinci4 –device=\/dev\/davinci5 \\\\<\/p>\n

\u00a0\u00a0\u00a0–device=\/dev\/davinci6 –device=\/dev\/davinci7 –device=\/dev\/davinci_manager \\\\<\/p>\n

\u00a0\u00a0\u00a0–device=\/dev\/hisi_hdc \u00a0–device \/dev\/devmm_svm \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/Ascend\/driver:\/usr\/local\/Ascend\/driver \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/Ascend\/firmware:\/usr\/local\/Ascend\/firmware \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/sbin\/npu-smi:\/usr\/local\/sbin\/npu-smi \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/sbin:\/usr\/local\/sbin \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/etc\/hccn.conf:\/etc\/hccn.conf \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/dcmi:\/usr\/local\/dcmi \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/bin\/npu-smi:\/usr\/local\/bin\/npu-smi \\\\<\/p>\n

\u00a0\u00a0\u00a0-v \/usr\/local\/sbin\/npu-smi:\/usr\/local\/sbin\/npu-smi \\\\<\/p>\n

-v \/models:\/models\u00a0 \u00a0\\\\\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/p>\n

swr.cn-south-1.myhuaweicloud.com\/ascendhub\/mindie:2.xx-800I-A2-py311-openeuler24.03-lts \u00a0\\\\<\/p>\n

\u00a0bash<\/p>\n

\u6ce8：\u5728\u542f\u52a8\u5bb9\u5668\u65f6\u5019\u5c06\u4e0b\u8f7d\u7684MindStudio ModelSlim\u6a21\u578b\u538b\u7f29\u5de5\u5177\u6302\u8f7d\u5230\u5bb9\u5668\u4e2d\u3002<\/p>\n

（3）\u79bb\u7ebf\u4e0b\u8f7deasydict\u3001transformers\u4f9d\u8d56\u5305，\u4e0b\u8f7d\u793a\u4f8b\u547d\u4ee4\u5982\u4e0b：<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0pip download transformers==4.48.2 \u00a0–platform manylinux2014_aarch64 –python-version 3.11 –implementation cp –abi cp311 –only-binary=:all: -d .\/w8a8_bkg\/<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5176\u4e2dtransformers\u4e3a\u4e0b\u8f7d\u7684\u4f9d\u8d56\u5305，4.48.2\u4e3a\u5bf9\u5e94\u7684transformers\u7248\u672c；platform manylinux2014_aarch64: \u6307\u5b9a\u76ee\u6807\u5e73\u53f0\u7684\u517c\u5bb9\u6027\u6807\u7b7e，\u6307\u5b9a\u4e86\u9002\u7528\u4e8e manylinux2014 \u6807\u51c6\u7684 aarch64（ARM 64\u4f4d\u67b6\u6784）\u5e73\u53f0；python-version 3.11: \u6307\u5b9a\u76ee\u6807Python\u7248\u672c，\u8fd9\u91cc\u662f\u6307Python 3.11；implementation cp: \u6307\u5b9a\u5b9e\u73b0\u65b9\u5f0f，\u8fd9\u91cc\u7684 cp \u8868\u793a CPython，\u5373\u6700\u5e38\u7528\u7684Python\u89e3\u91ca\u5668；abi cp311: \u6307\u5b9a\u5e94\u7528\u4e8c\u8fdb\u5236\u63a5\u53e3，\u8fd9\u91cc\u7684 cp311 \u5bf9\u5e94\u4e8e CPython 3.11 \u7684ABI；only-binary=:all:: \u8fd9\u4e2a\u9009\u9879\u8868\u793a\u53ea\u63a5\u53d7\u4e8c\u8fdb\u5236\u5206\u53d1\u7248，\u4e0d\u8003\u8651\u6e90\u4ee3\u7801\u5206\u53d1\u7248，:all: \u8868\u793a\u5bf9\u6240\u6709\u5305\u90fd\u5e94\u7528\u8fd9\u4e2a\u89c4\u5219；-d \u00a0.\/w8a8_bkg\/\u6307\u5b9a\u4e0b\u8f7d\u7684\u6587\u4ef6\u5b58\u653e\u76ee\u5f55，\u8fd9\u91cc\u7684\u6587\u4ef6\u5c06\u4f1a\u88ab\u4e0b\u8f7d\u5230\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u00a0.\/w8a8_bkg\/\u00a0\u6587\u4ef6\u5939\u5185\u3002<\/p>\n

（4）\u5728\u79bb\u7ebf\u5185\u5b89\u88c5\u4f9d\u8d56\u5305，\u79bb\u7ebf\u5b89\u88c5\u547d\u4ee4\u5982\u4e0b:<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0pip install transformers==4.48.2 –no-index –find-links=.\/w8a8_bkg\/\u00a0<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0pip install easydict –no-index –find-links=.\/w8a8_bkg\/\u00a0<\/p>\n

（5）\u8f6c\u5230\u6a21\u578b\u538b\u7f29\u6587\u4ef6msit\u6307\u5b9a\u8def\u5f84:<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0cd msit\/msmodelslim<\/p>\n

（6）\u8fd0\u884c\u5b89\u88c5\u811a\u672c<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0bash install.sh<\/p>\n

DeepSeek-R1-0528\u6743\u91cdINT8\u7cbe\u5ea6\u91cf\u5316<\/h3>\n

（1）\u4f7f\u7528npu\u591a\u5361\u91cf\u5316，\u914d\u7f6e\u591a\u5361\u91cf\u5316\u73af\u5883，\u547d\u4ee4\u5982\u4e0b\u6240\u793a:<\/p>\n

export ASCEND_RT_VISIBLE_DEVICES=0,1,2,3,4,5,6,7<\/p>\n

export PYTORCH_NPU_ALLOC_CONF=expandable_segments:False<\/p>\n

（2）\u5207\u6362\u5230\u91cf\u5316\u811a\u672c\u76ee\u5f55，\u793a\u4f8b\u547d\u4ee4\u5982\u4e0b：<\/p>\n

cd \u00a0msit-br_noncom_MindStudio_8.0.0_POC_20251231\/msmodelslim\/example\/DeepSeek<\/p>\n

（3）\u4fee\u6539feature.npy\u6743\u9650，\u793a\u4f8b\u547d\u4ee4\u5982\u4e0b：<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0chmod 640 .\/features.npy<\/p>\n

（4）\u6839\u636e\u95ee\u9898\u53ca\u89e3\u51b3（1）-（4）\u7684\u89e3\u51b3\u65b9\u5f0f\u8fdb\u884c\u914d\u7f6e\u6587\u4ef6\u53ca\u91cf\u5316\u6587\u4ef6\u7684\u4fee\u6539\u4e0e\u914d\u7f6e：<\/p>\n

（5）\u6267\u884c\u91cf\u5316\u811a\u672c\u8fdb\u884c\u91cf\u5316；<\/p>\n

python3 quant_deepseek_w8a8.py –model_path {\u6d6e\u70b9\u6743\u91cd\u8def\u5f84} –save_path {W8A8\u91cf\u5316\u6743\u91cd\u8def\u5f84}<\/p>\n

\u00a0\u95ee\u9898\u53ca\u89e3\u51b3<\/p>\n

（1）\u62a5\u9519 This modeling file requires the following packages that were not found in your environment： flash_attn. Run 'pip install flash_attn'？<\/p>\n

\u89e3\u51b3\u65b9\u5f0f:\u5f53\u524d\u73af\u5883\u4e2d\u7f3a\u5c11flash_attn\u5e93\u4e14\u6607\u817e\u4e0d\u652f\u6301\u8be5\u5e93，\u8fd0\u884c\u65f6\u9700\u8981\u6ce8\u91ca\u6389\u6743\u91cd\u6587\u4ef6\u5939\u4e2dmodeling_deepseek.py\u4e2d\u7684\u90e8\u5206\u4ee3\u7801,\u5982\u4e0b\u56fe\u6240\u793a:<\/p>\n

\"\"<\/p>\n

（2）modeling_utils.py\u62a5\u9519 if metadata.get("format") not in ["pt", "tf", "flax", "mix"]: AttributeError: "NoneType" object has no attribute 'get';<\/p>\n

\u89e3\u51b3\u65b9\u5f0f:\u8bf4\u660e\u8f93\u5165\u7684\u7684\u6743\u91cd\u4e2d\u7f3a\u5c11metadata\u5b57\u6bb5，\u9700\u5b89\u88c5\u66f4\u65b0transformers\u7248\u672c（>=4.48.2）\u3002<\/p>\n

（3）\u62a5\u9519 Unknown quantization type， got fp8 – supported types are：['awq', 'bitsandbytes_4bit', 'bitsandbytes_8bit', 'gptq', 'aqlm', 'quanto', 'eetq', 'hqq', 'fbgemm_fp8']<\/p>\n

\u89e3\u51b3\u65b9\u5f0f:\u7531\u4e8e\u5f53\u524d\u6607\u817e\u8bbe\u5907\u4e0d\u652f\u6301FP8\u683c\u5f0f\u52a0\u8f7d，\u9700\u8981\u5c06\u6743\u91cd\u6587\u4ef6\u5939\u4e2dconfig.json\u4e2d\u7684\u4ee5\u4e0b\u5b57\u6bb5\u5220\u9664，\u5982\u4e0b\u56fe\u6240\u793a：<\/p>\n

\"\"<\/p>\n

（4）\u9047\u5230OOM\u663e\u5b58\u4e0d\u591f\u62a5\u9519？<\/p>\n

\u89e3\u51b3\u65b9\u5f0f:\u4fee\u6539quant_deepseek_w8a8.py\u811a\u672c，\u589e\u52a0\u5361\u6570，eg: max_memory={0: "50GiB", 1: "50GiB", "cpu": "1500GiB"}, \u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u5361\u6570\u4ee5\u53ca\u663e\u5b58\u60c5\u51b5\u8bbe\u7f6e,\u5982\u4e0b\u56fe\u6240\u793a\u3002<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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