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\"\u817e\u8baf\u6df7\u5143\u5f00\u6e90\u5168\u65b0\u7ffb\u8bd1\u6a21\u578bHy-MT2<\/div><\/figure>\n
\"\u817e\u8baf\u6df7\u5143\u5f00\u6e90\u5168\u65b0\u7ffb\u8bd1\u6a21\u578bHy-MT2<\/div><\/figure>\n
\"\u817e\u8baf\u6df7\u5143\u5f00\u6e90\u5168\u65b0\u7ffb\u8bd1\u6a21\u578bHy-MT2<\/div><\/figure>\n
\"\u817e\u8baf\u6df7\u5143\u5f00\u6e90\u5168\u65b0\u7ffb\u8bd1\u6a21\u578bHy-MT2<\/div><\/figure>\n

5\u670821\u65e5\uff0c\u817e\u8baf\u6df7\u5143\u5ba3\u5e03\u5f00\u6e90\u5168\u65b0\u7ffb\u8bd1\u6a21\u578bHy-MT2\u5e76\u4e0a\u7ebf\u7ffb\u8bd1\u5c0f\u7a0b\u5e8f\u300c\u817e\u8bafHy\u7ffb\u8bd1\u300d\u3002Hy-MT2 \u662f\u652f\u6301 33 \u79cd\u8bed\u8a00\u4e92\u8bd1\u7684\u591a\u8bed\u8a00\u6a21\u578b\uff0c\u5176\u4e2d7B \u548c 30B-A3B\u6a21\u578b\u5728\u5404\u7c7b\u7ffb\u8bd1\u4efb\u52a1\u4e0a\u8fbe\u5230\u4e86\u5f00\u6e90\u6a21\u578b\u6700\u4f73\u6548\u679c\uff0c\u8d85\u8d8a\u4e86\u51e0\u5341\u500d\u53c2\u6570\u91cf\u7684\u6a21\u578b\uff0c\u8f7b\u91cf\u7ea7\u7684 1.8B \u6a21\u578b\u4e5f\u8d85\u8d8a\u4e86\u5fae\u8f6f\u7b49\u4e3b\u6d41\u5546\u4e1a API\uff0c\u4e14\u5f97\u76ca\u4e8e AngelSlim 1.25-bit \u6781\u7aef\u91cf\u5316\uff0c\u4ec5\u9700 440MB \u5b58\u50a8\u7a7a\u95f4\uff0c\u53ef\u4ee5\u8f7b\u677e\u90e8\u7f72\u5728\u4e3b\u6d41\u624b\u673a\u82af\u7247\u4e0a\u652f\u6301\u672c\u5730\u63a8\u7406\uff0c\u76f8\u6bd4Hy-MT1.5\u63a8\u7406\u901f\u5ea6\u63d0\u5347 1.5 \u500d\u3002<\/p>\n

Hy-MT2 \u5305\u542b 3\u4e2a\u5c3a\u5bf8\u7684\u6a21\u578b Hy-MT2-1.8B\u3001Hy-MT2-7B\u3001Hy-MT2-30B-A3B\uff0c\u5206\u522b\u4fa7\u91cd\u7aef\u4fa7\u8f7b\u91cf\u90e8\u7f72\u3001\u5747\u8861\u5b9e\u529b\u4ee5\u53ca\u4e13\u4e1a\u6548\u679c\u3002<\/p>\n

\u300c\u817e\u8bafHy\u7ffb\u8bd1\u300d\u5c0f\u7a0b\u5e8f\u57fa\u4e8e Hy-MT2 \u6253\u9020\uff0c\u76f8\u6bd4\u5176\u4ed6\u7ffb\u8bd1\u5de5\u5177\uff0c\u4e0d\u4ec5\u652f\u6301\u8bed\u97f3\u8f93\u5165\uff0c\u8fd8\u4f18\u5316\u4e86\u81ea\u5b9a\u4e49\u7ffb\u8bd1\u98ce\u683c\u548c\u6307\u4ee4\u7684\u80fd\u529b\uff0c\u8ba9\u7ffb\u8bd1\u7ed3\u679c\u66f4\u7b26\u5408\u9884\u671f\uff0c\u5b9e\u7528\u6027\u66f4\u5f3a\u3002\u540c\u65f6\uff0c\u7528\u6237\u4e0d\u4ec5\u53ef\u4ee5\u5728\u8054\u7f51\u73af\u5883\u4e0b\u4f53\u9a8c\u9ad8\u901f\u7248\u7684\u6df7\u5143\u7ffb\u8bd1\u6a21\u578b\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u63d0\u524d\u4e0b\u8f7d\u7aef\u4fa7\u7ffb\u8bd1\u6a21\u578b\uff0c\u5728\u65e0\u7f51\u7edc\u6216\u8005\u5f31\u7f51\u7edc\u573a\u666f\u4e2d\u4f7f\u7528\u79bb\u7ebf\u7ffb\u8bd1\uff0c\u89e3\u51b3\u4e86\u90e8\u5206\u5e94\u7528\u573a\u666f\u4e2d\u7f51\u7edc\u6761\u4ef6\u53d7\u9650\u7684\u95ee\u9898\u3002<\/p>\n

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\u4fdd\u6301\u901a\u7528\u7ffb\u8bd1\u80fd\u529b\u7684\u540c\u65f6\uff0cHy-MT2 \u8fdb\u4e00\u6b65\u9762\u5411\u771f\u5b9e\u4e1a\u52a1\u573a\u666f\u548c\u4e13\u4e1a\u9886\u57df\u7ffb\u8bd1\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n

\u5728\u771f\u5b9e\u573a\u666f\u6d4b\u8bd5\u96c6\u4e0a\uff0cHy-MT2-30B-A3B \u6548\u679c\u5df2\u7ecf\u8d85\u8fc7 Gemini 3.1 Pro\uff0c\u7279\u522b\u5728\u5782\u76f4\u9886\u57df\u7684\u6d4b\u8bd5\u96c6\u4e2d\uff0cHy-MT2-30B-A3B\u5728\u91d1\u878d\u3001\u653f\u6cbb\u3001\u6559\u80b2\u51e0\u4e2a\u9886\u57df\u7684\u7ffb\u8bd1\u6548\u679c\u5df2\u7ecf\u90e8\u5206\u8d85\u8fc7\u4e3b\u6d41\u7ffb\u8bd1\u6a21\u578b\u3002<\/p>\n

\u76f8\u6bd4\u4e0a\u4e00\u7248\u672c\u6a21\u578b\uff0cHy-MT2\u7684\u6700\u5927\u63d0\u5347\u4f53\u73b0\u5728\u6307\u4ee4\u9075\u5faa\u80fd\u529b\u4e0a\uff0c\u6a21\u578b\u80fd\u591f\u66f4\u51c6\u786e\u5730\u7406\u89e3\u5e76\u6267\u884c\u7528\u6237\u5173\u4e8e\u672f\u8bed\u3001\u98ce\u683c\u548c\u8f93\u51fa\u683c\u5f0f\u7b49\u65b9\u9762\u7684\u5177\u4f53\u8981\u6c42\u3002\u817e\u8baf\u6df7\u5143\u81ea\u5efa\u6570\u636e\u96c6 IFMT Bench \u6d4b\u8bd5\u7ed3\u679c\u8868\u660e\uff0cHy-MT2-7B \u548c Hy-MT2-30B-A3B\u7684\u7ffb\u8bd1\u6548\u679c\u5df2\u7ecf\u8d85\u8d8a\u7b49\u76f8\u8fd1\u5c3a\u5bf8\u5f00\u6e90\u6a21\u578b\uff0c\u63a5\u8fd1 Gemini 3.1 Pro\u3002\u76ee\u524d\u8fd9\u4e00\u6d4b\u8bd5\u96c6\u4e5f\u5df2\u7ecf\u5f00\u6e90\u3002<\/p>\n

\u6307\u4ee4\u9075\u5faa\u80fd\u529b\u89c1\u4e0b\u9762\u7684\u4f8b\u5b50\uff0c\u901a\u8fc7\u201c\u4e2a\u6027\u5316\u8bbe\u5b9a\uff1a\u7ffb\u8bd1\u7ed3\u679c\u7b80\u6d01\u7cbe\u70bc\uff0c\u53bb\u6389\u5197\u4f59\u8868\u8fbe\uff0c\u6bcf\u53e5\u4e0d\u8d85\u8fc715\u4e2a\u5b57\u201d\uff0c\u6a21\u578b\u53ef\u4ee5\u5f88\u597d\u7684\u9075\u5faa\u6307\u4ee4\uff0c\u8ba9\u7ffb\u8bd1\u7ed3\u679c\u66f4\u7b26\u5408\u8981\u6c42\u3002<\/p>\n

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\u4e3a\u4e86\u4fbf\u4e8e\u5f00\u53d1\u8005\u4f7f\u7528\uff0cHy-MT2 \u5f00\u6e90\u7684\u6a21\u578b\u5df2\u7ecf\u5728 Github \u548c Huggingface \u7b49\u5f00\u6e90\u793e\u533a\u4e0a\u7ebf\uff0cARM\u3001\u9ad8\u901a\u3001Intel\u3001\u6c90\u66e6\u3001\u5929\u6570\u667a\u82af\u7b49\u591a\u4e2a\u5e73\u53f0\u5747\u652f\u6301\u90e8\u7f72\u3002<\/p>\n

\u603b\u4f53\u770b\u6765\uff0cHy-MT2 \u662f\u4e00\u4e2a\u9762\u5411\u771f\u5b9e\u5e94\u7528\u573a\u666f\u7684\u9ad8\u8d28\u91cf\u3001\u9ad8\u6548\u7387\u3001\u591a\u80fd\u529b\u591a\u8bed\u7ffb\u8bd1\u6a21\u578b\u5bb6\u65cf\uff0c\u5728\u901a\u7528\u7ffb\u8bd1\u3001\u4e13\u4e1a\u9886\u57df\u7ffb\u8bd1\u3001\u771f\u5b9e\u4e1a\u52a1\u573a\u666f\u548c\u7ffb\u8bd1\u6307\u4ee4\u9075\u5faa\u4efb\u52a1\u4e0a\u5747\u8868\u73b0\u51fa\u8f83\u5f3a\u7ade\u4e89\u529b\u3002<\/p>\n

\u817e\u8baf\u6df7\u5143\u7ffb\u8bd1\u6a21\u578b\u575a\u6301\u4ece\u793e\u533a\u548c\u5b9e\u9645\u5e94\u7528\u573a\u666f\u4e2d\u641c\u96c6\u771f\u5b9e\u53cd\u9988\uff0c\u4e0d\u65ad\u63d0\u5347\u6a21\u578b\u80fd\u529b\u3002\u540c\u65f6\uff0c\u817e\u8baf\u6df7\u5143\u4e5f\u5e0c\u671b\u901a\u8fc7\u5f00\u6e90\u548c\u793e\u533a\u6d3b\u52a8\u56de\u9988\u793e\u533a\uff0c\u73b0\u5728\uff0c\u817e\u8baf\u6df7\u5143\u4e5f\u5728\u4e0eWMT26\u5b98\u65b9\u5408\u4f5c\u300c\u89c6\u9891\u5b57\u5e55\u7ffb\u8bd1\u6bd4\u8d5b\u300d\uff08https:\/\/www2.statmt.org\/wmt26\/video-subtitle-translation.html\uff09\uff0c\u4f7f\u7528Hy-MT\u7cfb\u5217\u6a21\u578b\u53c2\u4e0e\u300c\u901a\u7528\u673a\u5668\u7ffb\u8bd1\u6bd4\u8d5b\u300d\uff08https:\/\/www2.statmt.org\/wmt26\/translation-task.html\uff09\u548c\u300c\u89c6\u9891\u5b57\u5e55\u7ffb\u8bd1\u6bd4\u8d5b\u300d\u6709\u673a\u4f1a\u83b7\u5f97\u6df7\u5143\u7279\u8bbe\u5956\u52b1\uff0c\u8bda\u9080\u9080\u5927\u5bb6\u53c2\u4e0e\uff0c\u5171\u540c\u63a8\u52a8\u673a\u5668\u7ffb\u8bd1\u524d\u6cbf\u6280\u672f\u53d1\u5c55\u3002<\/p>\n

\u5f00\u6e90\u548c\u4f53\u9a8c\u94fe\u63a5\uff0c\u53ef\u8bbf\u95ee\uff1a<\/p>\n

l HuggingFace\uff1ahttps:\/\/huggingface.co\/collections\/tencent\/hy-mt2<\/p>\n

l Modelscope\uff1ahttps:\/\/modelscope.cn\/collections\/Tencent-Hunyuan\/Hy-MT2<\/p>\n

l Github\uff1ahttps:\/\/github.com\/Tencent-Hunyuan\/Hy-MT2<\/p>\n

l \u817e\u8baf\u4e91\uff1ahttps:\/\/console.cloud.tencent.com\/tokenhub\/text<\/p>\n

l \u817e\u8baf\u6df7\u5143\u5b98\u7f51\uff1ahttps:\/\/aistudio.tencent.com\/llm\/zh?tabIndex=0<\/p>\n

\n

\u7248\u6743\u58f0\u660e\uff1a<\/strong><\/p>\n

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