{"id":34742,"date":"2024-12-12T03:58:11","date_gmt":"2024-12-11T19:58:11","guid":{"rendered":"https:\/\/17aitech.com\/?p=34742"},"modified":"2024-12-12T03:58:11","modified_gmt":"2024-12-11T19:58:11","slug":"%e7%b2%be%e5%87%86%e7%8b%99%e5%87%bbllama-3-1%ef%bc%9fmistral-ai%e5%bc%80%e6%ba%90large-2%ef%bc%8c123b%e5%aa%b2%e7%be%8ellama-405b","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=34742","title":{"rendered":"\u7cbe\u51c6\u72d9\u51fbLlama 3.1\uff1fMistral AI\u5f00\u6e90Large 2\uff0c123B\u5ab2\u7f8eLlama 405B"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u7cbe\u51c6\u72d9\u51fbLlama 3.1\uff1fMistral AI\u5f00\u6e90Large 2\uff0c123B\u5ab2\u7f8eLlama 405B<\/a><\/p>\n

AI \u7ade\u8d5b\u6b63\u4ee5\u524d\u6240\u672a\u6709\u7684\u901f\u5ea6\u52a0\u901f\uff0c\u7ee7 Meta \u6628\u5929\u63a8\u51fa\u5176\u65b0\u7684\u5f00\u6e90 Llama 3.1<\/a> \u6a21\u578b\u4e4b\u540e\uff0c\u6cd5\u56fd AI \u521d\u521b\u516c\u53f8 Mistral AI \u4e5f\u52a0\u5165\u4e86\u7ade\u4e89\u3002<\/p>\n

\u521a\u521a\uff0cMistral AI \u5ba3\u5e03\u5176\u65d7\u8230\u5f00\u6e90\u6a21\u578b\u7684\u4e0b\u4e00\u4ee3\u4ea7\u54c1\uff1aMistral Large 2\uff0c\u8be5\u6a21\u578b\u62e5\u6709 1230 \u4ebf\u4e2a\u53c2\u6570<\/mark>\uff0c\u5728\u4ee3\u7801\u751f\u6210\u3001\u6570\u5b66\u3001\u63a8\u7406\u7b49\u65b9\u9762\u4e0e OpenAI \u548c Meta \u7684\u6700\u65b0\u5c16\u7aef\u6a21\u578b\u4e0d\u76f8\u4e0a\u4e0b\u3002<\/p>\n

\u7d27\u968f Llama 3.1 405B \u4e4b\u540e\uff0cMistral Large 2 \u7684\u53d1\u5e03\u8ba9\u5f00\u6e90\u5927\u6a21\u578b\u7684\u8d5b\u9053\u4e00\u4e0b\u5b50\u70ed\u95f9\u8d77\u6765\uff0c\u800c\u8fd9\u4e00\u6a21\u578b\u7684\u7279\u70b9\u662f \u2014\u2014\u300c\u8db3\u591f\u5927\u300d\u3002<\/p>\n

\u5177\u4f53\u6765\u8bf4\uff0c\u867d\u7136 Mistral Large 2 \u53c2\u6570<\/mark>\u91cf\u4f4e\u4e8e Llama 3.1 \u7684 4050 \u4ebf\uff0c\u4f46\u4e24\u8005\u6027\u80fd\u63a5\u8fd1\u3002\u5e76\u4e14\u5728\u591a\u4e2a\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\u4e0e GPT-4o\u3001Anthropic \u7684 Claude 3.5 Sonnet \u5ab2\u7f8e\u3002<\/p>\n

<\/a><\/p>\n

\u4eca\u5e74 2 \u6708\uff0cMistral AI \u63a8\u51fa\u4e86\u6700\u521d\u7684 Large \u6a21\u578b<\/a>\uff0c\u5176\u4e0a\u4e0b\u6587\u7a97\u53e3\u5305\u542b 32,000 \u4e2a token\uff0c\u65b0\u7248\u6a21\u578b\u5728\u6b64\u57fa\u7840\u4e0a\u6784\u5efa\uff0c\u5177\u6709\u66f4\u5927\u7684 128,000 \u4e2a\u4e0a\u4e0b\u6587\u7a97\u53e3\uff08\u5927\u7ea6\u76f8\u5f53\u4e8e\u4e00\u672c 300 \u9875\u7684\u4e66\uff09\u2014\u2014 \u4e0e OpenAI \u7684 GPT-4o \u548c GPT-4o mini \u4ee5\u53ca Meta \u7684 Llama 3.1 \u76f8\u5339\u914d\u3002<\/p>\n

\u76ee\u524d\uff0cMistral Large 2 \u652f\u6301\u6570\u5341\u79cd\u8bed\u8a00\uff0c\u5305\u62ec\u6cd5\u8bed\u3001\u5fb7\u8bed\u3001\u897f\u73ed\u7259\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u963f\u62c9\u4f2f\u8bed\u3001\u5370\u5730\u8bed\u3001\u4fc4\u8bed\u3001\u4e2d\u6587\u3001\u65e5\u8bed\u548c\u97e9\u8bed\uff0c\u4ee5\u53ca 80 \u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ec Python\u3001Java\u3001C\u3001C++\u3001JavaScript \u548c Bash\u3002<\/p>\n

Mistral AI \u6307\u51fa\uff0c\u65b0\u6a21\u578b\u5c06\u7ee7\u7eed\u7a81\u7834\u6210\u672c\u6548\u7387\u3001\u901f\u5ea6\u548c\u6027\u80fd\u7684\u754c\u9650\uff0c\u540c\u65f6\u4e3a\u7528\u6237\u63d0\u4f9b\u65b0\u529f\u80fd\uff0c\u5305\u62ec\u9ad8\u7ea7\u51fd\u6570\u8c03\u7528\u548c\u68c0\u7d22\uff0c\u4ee5\u6784\u5efa\u9ad8\u6027\u80fd\u7684 AI \u5e94\u7528\u3002<\/p>\n

\u4e0d\u8fc7\uff0c\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cMistral Large 2 \u867d\u7136\u662f\u5f00\u653e\u7684\uff0c\u4f46\u53ea\u9650\u4e8e\u7814\u7a76\u548c\u975e\u5546\u4e1a\u7528\u9014\u3002\u5b83\u63d0\u4f9b\u4e86\u5f00\u653e\u7684\u6743\u91cd<\/mark>\uff0c\u5141\u8bb8\u7b2c\u4e09\u65b9\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\u3002\u8fd9\u4e00\u534f\u8bae\u662f\u5bf9\u7528\u6237\u4f7f\u7528\u6761\u4ef6\u7684\u4e00\u4e2a\u91cd\u8981\u9650\u5236\u3002\u5bf9\u4e8e\u9700\u8981\u81ea\u884c\u90e8\u7f72 Mistral Large 2 \u7684\u5546\u4e1a\u7528\u9014\uff0c\u5fc5\u987b\u63d0\u524d\u83b7\u53d6 Mistral AI \u5546\u4e1a\u8bb8\u53ef\u8bc1\u3002<\/p>\n

\u6027\u80fd\u8868\u73b0<\/strong><\/p>\n

\u5728\u591a\u9879\u8bc4\u4f30\u6307\u6807\u4e0a\uff0cMistral Large 2 \u5237\u65b0\u4e86\u6027\u80fd\u548c\u670d\u52a1\u6210\u672c\u7684\u65b0\u6807\u51c6\u3002\u7279\u522b\u662f\u5728 MMLU \u4e0a\uff0c\u9884\u8bad\u7ec3\u7248\u672c\u5b9e\u73b0\u4e86 84.0% \u7684\u51c6\u786e\u7387<\/mark>\u3002<\/p>\n

\u4ee3\u7801\u4e0e\u63a8\u7406<\/strong><\/p>\n

Mistral AI \u57fa\u4e8e\u6b64\u524d Codestral 22B \u548c Codestral Mamba \u7684\u7ecf\u9a8c\uff0c\u5728\u5f88\u5927\u4e00\u90e8\u5206\u4ee3\u7801\u4e0a\u8bad\u7ec3\u4e86 Mistral Large 2\u3002<\/p>\n

Mistral Large 2 \u7684\u8868\u73b0\u8fdc\u8fdc\u4f18\u4e8e\u4e0a\u4e00\u4ee3\u7684 Mistral Large\uff0c\u5e76\u4e14\u4e0e GPT-4o\u3001Claude 3 Opus \u548c Llama 3 405B \u7b49\u9876\u5c16\u6a21\u578b\u76f8\u5f53\u3002<\/p>\n

<\/a><\/p>\n

Mistral AI \u8fd8\u6295\u5165\u4e86\u5927\u91cf\u7cbe\u529b\u6765\u589e\u5f3a\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\uff0c\u91cd\u70b9\u4e4b\u4e00\u5c31\u662f\u5c3d\u91cf\u51cf\u5c11\u6a21\u578b\u4ea7\u751f\u300c\u5e7b\u89c9\u300d\u6216\u4ea7\u751f\u770b\u4f3c\u5408\u7406\u4f46\u5b9e\u9645\u4e0a\u4e0d\u6b63\u786e\u6216\u4e0d\u76f8\u5173\u4fe1\u606f\u7684\u503e\u5411\u3002\u8fd9\u662f\u901a\u8fc7\u5fae\u8c03\u6a21\u578b\u6765\u5b9e\u73b0\u7684\uff0c\u4f7f\u5176\u5728\u56de\u590d\u65f6\u66f4\u52a0\u8c28\u614e\u548c\u654f\u9510\uff0c\u786e\u4fdd\u5176\u63d0\u4f9b\u53ef\u9760\u548c\u51c6\u786e\u7684\u8f93\u51fa\u3002<\/p>\n

\u6b64\u5916\uff0c\u5728\u627e\u4e0d\u5230\u89e3\u51b3\u65b9\u6848\u6216\u6ca1\u6709\u8db3\u591f\u7684\u4fe1\u606f\u6765\u63d0\u4f9b\u4e00\u4e2a\u81ea\u4fe1\u7684\u7b54\u6848\u65f6\uff0cMistral Large 2 \u4f1a\u627f\u8ba4\uff08\u81ea\u5df1\u7b54\u4e0d\u51fa\u6765\uff09\u3002\u8fd9\u79cd\u5bf9\u51c6\u786e\u6027\u7684\u8ffd\u6c42\u4f53\u73b0\u5728\u4e86\u6570\u5b66\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\u6a21\u578b\u6027\u80fd\u7684\u63d0\u9ad8\uff0c\u4e0b\u56fe\u5c55\u793a\u4e86\u5176\u589e\u5f3a\u7684\u63a8\u7406\u548c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\uff1a<\/p>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u4ee3\u7801\u751f\u6210\u57fa\u51c6<\/mark>\u4e0a\u7684\u6027\u80fd\u51c6\u786e\u6027\uff08\u6240\u6709\u6a21\u578b\u90fd\u901a\u8fc7\u76f8\u540c\u7684\u8bc4\u4f30\u6d41\u7a0b\u8fdb\u884c\u57fa\u51c6<\/mark>\u6d4b\u8bd5\uff09\u3002<\/sup><\/em><\/p>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0MultiPL-E \u4e0a\u7684\u6027\u80fd\u51c6\u786e\u6027\uff08\u9664 paper \u5916\uff0c\u6240\u6709\u6a21\u578b\u90fd\u901a\u8fc7\u76f8\u540c\u7684\u8bc4\u4f30\u6d41\u7a0b\u8fdb\u884c\u57fa\u51c6<\/mark>\u6d4b\u8bd5\uff09\u3002<\/sup><\/em><\/p>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0GSM8K\uff088-shot\uff09\u548c MATH\uff080-shot\uff0c\u65e0 CoT\uff09\u751f\u6210\u57fa\u51c6<\/mark>\u4e0a\u7684\u6027\u80fd\u51c6\u786e\u6027\uff08\u6240\u6709\u6a21\u578b\u90fd\u901a\u8fc7\u76f8\u540c\u7684\u8bc4\u4f30\u6d41\u7a0b\u8fdb\u884c\u57fa\u51c6<\/mark>\u6d4b\u8bd5\uff09\u3002<\/sup><\/em><\/p>\n

\u6307\u4ee4\u9075\u5faa\u4e0e\u5bf9\u9f50<\/strong><\/p>\n

Mistral AI \u5927\u5e45\u63d0\u5347\u4e86 Mistral Large 2 \u7684\u6307\u4ee4\u9075\u5faa\u548c\u5bf9\u8bdd\u80fd\u529b\u3002\u65b0\u7684 Mistral Large 2 \u5c24\u5176\u64c5\u957f\u9075\u5faa\u7cbe\u786e\u6307\u4ee4\u548c\u5904\u7406\u957f\u65f6\u95f4\u7684\u591a\u8f6e\u5bf9\u8bdd\u3002<\/p>\n

\u4ee5\u4e0b\u662f\u5176\u5728 MT-Bench\u3001Wild Bench \u548c Arena Hard \u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\u7684\u8868\u73b0\uff1a<\/p>\n

<\/a><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u6a21\u578b\u5728\u901a\u7528\u5bf9\u9f50\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\u7684\u6027\u80fd\uff08\u6240\u6709\u6a21\u578b\u5747\u901a\u8fc7\u76f8\u540c\u7684\u8bc4\u4f30 pipeline \u8fdb\u884c\u6d4b\u8bd5\uff09<\/sup><\/em><\/p>\n

\u5728\u67d0\u4e9b\u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\uff0c\u751f\u6210\u8f83\u957f\u7684\u56de\u7b54\u5f80\u5f80\u4f1a\u63d0\u9ad8\u8bc4\u5206\u3002\u7136\u800c\uff0c\u5728\u8bb8\u591a\u5546\u4e1a\u5e94\u7528\u4e2d\uff0c\u7b80\u6d01\u81f3\u5173\u91cd\u8981\uff0c\u8fd9\u662f\u56e0\u4e3a\u7b80\u6d01\u7684\u6a21\u578b\u751f\u6210\u80fd\u591f\u52a0\u5feb\u4ea4\u4e92\u901f\u5ea6\uff0c\u5e76\u964d\u4f4e\u63a8\u7406\u6210\u672c\u3002<\/p>\n

\u6240\u4ee5 Mistral AI \u82b1\u8d39\u4e86\u5927\u91cf\u7cbe\u529b\uff0c\u786e\u4fdd\u751f\u6210\u7684\u5185\u5bb9\u5c3d\u53ef\u80fd\u7b80\u660e\u627c\u8981\u3002<\/p>\n

\u4e0b\u56fe\u5c55\u793a\u4e86\u5728 MT Bench \u57fa\u51c6<\/mark>\u6d4b\u8bd5\u7684\u95ee\u9898\u4e0a\uff0c\u4e0d\u540c\u6a21\u578b\u751f\u6210\u7684\u56de\u7b54\u7684\u5e73\u5747\u957f\u5ea6\uff1a<\/p>\n

<\/a><\/p>\n

\u8bed\u8a00\u591a\u6837\u6027<\/strong><\/p>\n

\u5f53\u4eca\u5927\u91cf\u7684\u5546\u4e1a\u5316\u5e94\u7528\u573a\u666f\u6d89\u53ca\u5904\u7406\u591a\u8bed\u8a00\u6587\u6863\u3002Mistral Large 2 \u5728\u5927\u91cf\u591a\u8bed\u8a00\u6570\u636e\u4e0a\u8fdb\u884c\u4e86\u8bad\u7ec3\uff0c\u7279\u522b\u662f\u5728\u82f1\u8bed\u3001\u6cd5\u8bed\u3001\u5fb7\u8bed\u3001\u897f\u73ed\u7259\u8bed\u3001\u610f\u5927\u5229\u8bed\u3001\u8461\u8404\u7259\u8bed\u3001\u8377\u5170\u8bed\u3001\u4fc4\u8bed\u3001\u4e2d\u6587\u3001\u65e5\u8bed\u3001\u97e9\u8bed\u3001\u963f\u62c9\u4f2f\u8bed\u548c\u5370\u5730\u8bed\u65b9\u9762\u90fd\u8868\u73b0\u4f18\u5f02\u3002<\/p>\n

\u4ee5\u4e0b\u662f Mistral Large 2 \u5728\u591a\u8bed\u8a00 MMLU \u57fa\u51c6<\/mark>\u6d4b\u8bd5\u4e2d\u7684\u6027\u80fd\u7ed3\u679c\uff0c\u4e3b\u8981\u662f\u4e0e\u4e4b\u524d\u7684 Mistral Large\u3001Llama 3.1 \u6a21\u578b\u4ee5\u53ca Cohere \u7684 Command R+ \u7684\u5bf9\u6bd4\uff1a<\/p>\n

<\/a><\/p>\n

<\/a><\/em><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u591a\u8bed\u8a00 MMLU \u6027\u80fd\uff08\u4ee5\u57fa\u7840\u9884\u8bad\u7ec3\u6a21\u578b\u6d4b\u91cf\uff09<\/sup><\/em><\/p>\n

\u5de5\u5177\u4f7f\u7528\u4e0e\u51fd\u6570\u8c03\u7528<\/strong><\/p>\n

Mistral Large 2 \u914d\u5907\u4e86\u589e\u5f3a\u7684\u51fd\u6570\u8c03\u7528\u548c\u68c0\u7d22\u6280\u80fd\uff0c\u7ecf\u8fc7\u8bad\u7ec3\u80fd\u591f\u719f\u7ec3\u5730\u6267\u884c\u5e76\u884c\u548c\u987a\u5e8f\u51fd\u6570\u8c03\u7528\uff0c\u4f7f\u5176\u80fd\u591f\u6210\u4e3a\u590d\u6742\u4e1a\u52a1\u5e94\u7528\u7a0b\u5e8f\u7684\u5f3a\u5927\u5f15\u64ce\u3002<\/p>\n

\u4e0b\u56fe\u4e3a Mistral Large 2 \u5728\u51fd\u6570\u8c03\u7528\u4e0a\u4e0e\u5176\u4ed6\u4e3b\u6d41\u6a21\u578b\u7684\u51c6\u786e\u6027\u5bf9\u6bd4\uff1a<\/p>\n

<\/a><\/p>\n

\u8bd5\u7528 Mistral Large 2<\/strong><\/p>\n

\u7528\u6237\u53ef\u4ee5\u901a\u8fc7 la Plateforme \u4e0a\u4f7f\u7528 Mistral Large 2\uff0c\u540d\u79f0\u4e3a mistral-large-2407 \uff0c\u5e76\u5728 le Chat \u4e0a\u6d4b\u8bd5\u3002\u5b83\u7684\u7248\u672c\u662f 24.07\uff08Mistral \u5bf9\u6240\u6709\u6a21\u578b\u91c7\u7528\u7684\u90fd\u662f YY.MM \u7248\u672c\u7f16\u53f7\u7cfb\u7edf\uff09\uff0cAPI \u540d\u79f0\u4e3a mistral-large-2407\u3002<\/p>\n

\u6307\u4ee4\u6a21\u578b\u7684\u6743\u91cd<\/mark>\u5df2\u63d0\u4f9b\uff0c\u6258\u7ba1\u5728 HuggingFace \u4e0a\u3002<\/p>\n

\u6743\u91cd<\/mark>\u94fe\u63a5\uff1ahttps:\/\/huggingface.co\/mistralai\/Mistral-Large-Instruct-2407<\/p>\n

Mistral AI \u6b63\u5728\u5c06 la Plateforme \u4e0a\u7684\u4ea7\u54c1\u6574\u5408\u4e3a\u4e24\u4e2a\u901a\u7528\u6a21\u578b\uff1aMistral Nemo<\/a> \u548c Mistral Large\uff0c\u4ee5\u53ca\u4e24\u4e2a\u4e13\u4e1a\u6a21\u578b\uff1aCodestral \u548c Embed\u3002\u968f\u7740\u4ed6\u4eec\u9010\u6b65\u6dd8\u6c70 la Plateforme \u4e0a\u7684\u65e7\u6a21\u578b\uff0c\u6240\u6709\u7684 Apache \u6a21\u578b\uff08\u5305\u62ec Mistral 7B\u3001Mixtral 8x7B \u548c 8x22B\u3001Codestral Mamba\u3001Mathstral\uff09\u4ecd\u7136\u53ef\u4ee5\u4f7f\u7528 Mistral AI \u7684 SDK\u2014\u2014mistral-inference \u548c mistral-finetune \u8fdb\u884c\u90e8\u7f72\u548c\u5fae\u8c03\u3002<\/p>\n

\u4ece\u4eca\u5929\u5f00\u59cb\uff0c\u4ed6\u4eec\u6269\u5c55\u4e86 la Plateforme \u4e0a\u7684\u5fae\u8c03\u529f\u80fd\uff1a\u73b0\u5728\uff0c\u8fd9\u4e9b\u529f\u80fd\u9002\u7528\u4e8e Mistral Large\u3001Mistral Nemo \u548c Codestral\u3002<\/p>\n

\u6b64\u5916\uff0cMistral AI \u4e0e\u4e91\u670d\u52a1\u63d0\u4f9b\u5546\u90fd\u6709\u5408\u4f5c\uff0cMistral Large 2 \u5c06\u5f88\u5feb\u767b\u9646\u8fd9\u4e9b\u5e73\u53f0\u3002Mistral AI \u6269\u5927\u4e86\u4e0e Google Cloud Platform \u7684\u5408\u4f5c\uff0c\u901a\u8fc7 Managed API \u5c06 Mistral AI \u7684\u6a21\u578b\u5f15\u5165 Vertex AI\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u8fd8\u53ef\u4ee5\u5728 Amazon<\/mark> Bedrock\u3001Azure AI Studio \u548c IBM<\/mark> watsonx.ai \u4e0a\u627e\u5230\u3002<\/p>\n

<\/a><\/p>\n

\u53c2\u8003\u94fe\u63a5\uff1a<\/sup><\/em><\/p>\n

https:\/\/mistral.ai\/news\/mistral-large-2407\/<\/em><\/sup><\/p>\n

https:\/\/venturebeat.com\/ai\/mistral-shocks-with-new-open-model-mistral-large-2-taking-on-llama-3-1\/<\/em><\/sup><\/p>\n

https:\/\/techcrunch.com\/2024\/07\/24\/mistral-releases-large-2-meta-openai-ai-models\/<\/sup><\/em><\/p>\n

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