{"id":17331,"date":"2024-08-15T15:35:27","date_gmt":"2024-08-15T07:35:27","guid":{"rendered":"http:\/\/139.9.1.231\/?p=17331"},"modified":"2024-08-15T15:35:28","modified_gmt":"2024-08-15T07:35:28","slug":"llm-base","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2024\/08\/15\/llm-base\/","title":{"rendered":"\u5927\u6a21\u578b\u57fa\u672c\u6982\u5ff5"},"content":{"rendered":"\n\n\n<h2>\u4ec0\u4e48\u662fBase\u6a21\u578b\uff1f\u4ec0\u4e48\u662fchat\u6a21\u578b\uff1f\u4ec0\u4e48\u662finstruct\uff1f\u4ec0\u4e48\u662f4Bit\uff1f\u4ec0\u4e48\u662fAWQ\u6a21\u578b\uff1f<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"384\" height=\"1024\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-53-384x1024.png\" alt=\"\" class=\"wp-image-17349\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-53-384x1024.png 384w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-53-112x300.png 112w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-53.png 499w\" sizes=\"(max-width: 384px) 100vw, 384px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter is-resized\"><img loading=\"lazy\" src=\"https:\/\/api.ibos.cn\/v4\/weapparticle\/accesswximg?aid=81221&amp;url=aHR0cHM6Ly9tbWJpei5xcGljLmNuL3N6X21tYml6X3BuZy8wWGliSGJVQlFCZGNIVlBiRHpuMmVDTnM1azVabDlvWjI5U0R0SVpSOGFkYTQ3N3FyZG03ZThZamhWeWx4cFRWUUJjaWFWVmlhWnpOcEVINnJ5dmtiTk4yZy82NDA\/d3hfZm10PXBuZyZhbXA=;from=appmsg\" alt=\"\" width=\"489\" height=\"239\"\/><\/figure><\/div>\n\n\n\n<p>\u5927\u6a21\u578b\u5e93\u4e2d\u7684<code>base<\/code>\u3001<code>chat<\/code>\u3001<code>instruct<\/code>\u548c<code>4bit<\/code>\u7b49\u901a\u5e38\u6307\u7684\u662f\u4e0d\u540c\u7c7b\u578b\u6216\u914d\u7f6e\u7684\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\u3002\u5b83\u4eec\u7684\u533a\u522b\u4e3b\u8981\u5728\u4e8e\u8bad\u7ec3\u76ee\u6807\u3001\u7528\u9014\u548c\u6a21\u578b\u53c2\u6570\u7684\u7cbe\u5ea6\u3002\u4ee5\u4e0b\u662f\u5bf9\u8fd9\u4e9b\u672f\u8bed\u7684\u89e3\u91ca\uff1a<\/p>\n\n\n\n<p><a><\/a><a><\/a>1. Base \u6a21\u578b (<code>base<\/code>)<\/p>\n\n\n\n<ul><li><strong>\u5b9a\u4e49<\/strong>\uff1a<strong>Base\u6a21\u578b\u901a\u5e38\u662f\u6307\u672a\u7ecf\u7279\u5b9a\u4efb\u52a1\u5fae\u8c03\u7684\u57fa\u7840\u9884\u8bad\u7ec3\u6a21\u578b\uff0c\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u6700\u521d\u88ab\u5f00\u53d1\u548c\u4f18\u5316\u7684\uff0c\u5b83\u65e8\u5728\u5e73\u8861\u6027\u80fd\u548c\u8d44\u6e90\u6d88\u8017\u3002<\/strong><\/li><li><strong>\u7528\u9014<\/strong>\uff1a<strong>\u8fd9\u4e9b\u6a21\u578b\u901a\u5e38\u7528\u4e8e\u8fdb\u4e00\u6b65\u7684\u5fae\u8c03\uff0c\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u6216\u5e94\u7528\u573a\u666f\u3002\u5982\uff1a\u667a\u80fd\u5bf9\u8bdd\u3001\u6587\u672c\u5185\u5bb9\u751f\u6210\u7b49<\/strong><\/li><li><strong>\u7279\u70b9<\/strong>\uff1a\u5b83\u4eec\u5305\u542b\u4e86\u5927\u91cf\u901a\u7528\u77e5\u8bc6\uff0c\u4f46\u6ca1\u6709\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u8fdb\u884c\u4f18\u5316\u3002<\/li><\/ul>\n\n\n\n<p><a><\/a><a><\/a>2. Chat \u6a21\u578b (<code>chat<\/code>)<\/p>\n\n\n\n<ul><li><strong>\u5b9a\u4e49<\/strong>\uff1a<strong>Chat\u6a21\u578b\u4e13\u95e8\u4e3a\u5bf9\u8bdd\u7cfb\u7edf\uff08\u804a\u5929\u673a\u5668\u4eba\uff09\u8bbe\u8ba1\u548c\u4f18\u5316<\/strong>\u3002<\/li><li><strong>\u7528\u9014<\/strong>\uff1a\u7528\u4e8e\u751f\u6210\u81ea\u7136\u8bed\u8a00\u5bf9\u8bdd\uff0c\u80fd\u591f\u7406\u89e3\u4e0a\u4e0b\u6587\u5e76\u751f\u6210\u8fde\u8d2f\u4e14\u6709\u610f\u4e49\u7684\u56de\u590d\u3002\u5982\uff1a\u804a\u5929\u673a\u5668\u4eba\u3001\u667a\u80fd\u52a9\u529b<\/li><li><strong>\u7279\u70b9<\/strong>\uff1a\u901a\u5e38\u7ecf\u8fc7\u5927\u91cf\u5bf9\u8bdd\u6570\u636e\u5fae\u8c03\uff0c\u5177\u5907\u66f4\u597d\u7684\u4e0a\u4e0b\u6587\u7406\u89e3\u80fd\u529b\u548c\u5bf9\u8bdd\u751f\u6210\u80fd\u529b\u3002<\/li><\/ul>\n\n\n\n<p><a><\/a><a><\/a>3. Instruct \u6a21\u578b (<code>instruct<\/code>)<\/p>\n\n\n\n<ul><li><strong>\u5b9a\u4e49<\/strong>\uff1a<strong>Instruct\u6a21\u578b\u662f\u4e3a\u9075\u5faa\u6307\u4ee4\u6216\u5b8c\u6210\u7279\u5b9a\u4efb\u52a1\u800c\u8bbe\u8ba1\u548c\u4f18\u5316\u7684\u6a21\u578b<\/strong>\u3002<\/li><li><strong>\u7528\u9014<\/strong>\uff1a\u7528\u4e8e\u6267\u884c\u5177\u4f53\u6307\u4ee4\uff0c\u5982\u56de\u7b54\u95ee\u9898\u3001\u751f\u6210\u6587\u672c\u3001\u7ffb\u8bd1\u7b49\u4efb\u52a1\u3002<\/li><li><strong>\u7279\u70b9<\/strong>\uff1a\u7ecf\u8fc7\u6307\u4ee4\u6570\u636e\u96c6\u5fae\u8c03\uff0c\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u6267\u884c\u7528\u6237\u63d0\u4f9b\u7684\u6307\u4ee4\u3002<\/li><\/ul>\n\n\n\n<p><a><\/a><a><\/a>4. 4-bit \u6a21\u578b (<code>4bit<\/code>)<\/p>\n\n\n\n<ul><li><strong>\u5b9a\u4e49<\/strong>\uff1a4-bit\u6a21\u578b\u4f7f\u7528\u4f4e\u7cbe\u5ea6\uff084\u4f4d\uff09\u8fdb\u884c<strong>\u91cf\u5316<\/strong>\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528\u548c\u8ba1\u7b97\u8d44\u6e90\u9700\u6c42\u3002<\/li><li><strong>\u7528\u9014<\/strong>\uff1a\u9002\u7528\u4e8e\u8d44\u6e90\u53d7\u9650\u7684\u73af\u5883\uff0c\u5982\u79fb\u52a8\u8bbe\u5907\u6216\u5d4c\u5165\u5f0f\u7cfb\u7edf\uff0c\u540c\u65f6\u4fdd\u6301\u8f83\u9ad8\u7684\u6027\u80fd\u8868\u73b0\u3002<\/li><li><strong>\u7279\u70b9<\/strong>\uff1a\u901a\u8fc7\u91cf\u5316\u6280\u672f\u663e\u8457\u51cf\u5c11\u4e86\u6a21\u578b\u5927\u5c0f\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u4f46\u53ef\u80fd\u4f1a\u727a\u7272\u90e8\u5206\u7cbe\u5ea6\u3002<\/li><\/ul>\n\n\n\n<p> 5. AWQ \u6a21\u578b (\u9009\u62e9\u6027\u91cf\u5316) <\/p>\n\n\n\n<p>AWQ\u5373\u6fc0\u6d3b\u503c\u611f\u77e5\u7684\u6743\u91cd\u91cf\u5316(Activation-aware Weight Quantization)\uff0c\u662f\u4e00\u79cd\u9488\u5bf9LLM\u7684\u4f4e\u6bd4\u7279\u6743\u91cd\u91cf\u5316\u7684\u786c\u4ef6\u53cb\u597d\u65b9\u6cd5\u3002<strong>\u901a\u8fc7\u4fdd\u62a4\u66f4\u201c\u91cd\u8981\u201d\u7684\u6743\u91cd\u4e0d\u8fdb\u884c\u91cf\u5316\uff0c\u4ece\u800c\u5728\u4e0d\u8fdb\u884c\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\u63d0\u9ad8\u51c6\u786e\u7387\u3002<\/strong><\/p>\n\n\n\n<p>\u6211\u4eec\u7684\u65b9\u6cd5\u57fa\u4e8e\u8fd9\u6837\u4e00\u4e2a\u89c2\u5bdf\uff1a\u6743\u91cd\u5e76\u975e\u540c\u7b49\u91cd\u8981\uff0c\u4ec5\u4fdd\u62a41%\u7684\u663e\u8457\u6743\u91cd\u53ef\u4ee5\u5927\u5927\u51cf\u5c11\u91cf\u5316\u8bef\u5dee\u3002\u7136\u540e\uff0c\u6211\u4eec\u5efa\u8bae\u901a\u8fc7\u89c2\u5bdf\u6fc0\u6d3b\u800c\u4e0d\u662f\u6743\u91cd\u6765\u641c\u7d22\u4fdd\u62a4\u663e\u8457\u6743\u91cd\u7684\u6700\u4f73\u901a\u9053\u7f29\u653e\u3002AWQ\u4e0d\u4f9d\u8d56\u4e8e\u4efb\u4f55\u53cd\u5411\u4f20\u64ad\u6216\u91cd\u6784\uff0c\u56e0\u6b64\u53ef\u4ee5\u5f88\u597d\u5730\u4fdd\u7559LLMs\u5728\u4e0d\u540c\u9886\u57df\u548c\u6a21\u6001\u4e2d\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u800c\u4e0d\u4f1a\u8fc7\u5ea6\u62df\u5408\u6821\u51c6\u96c6\u3002AWQ\u5728\u5404\u79cd\u8bed\u8a00\u5efa\u6a21\u548c\u7279\u5b9a\u9886\u57df\u57fa\u51c6\u4e0a\u4f18\u4e8e\u73b0\u6709\u5de5\u4f5c\u3002\u7531\u4e8e\u66f4\u597d\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u5b83\u5728\u9762\u5411\u6307\u4ee4\u8c03\u6574\u7684LMs\u4e0a\u5b9e\u73b0\u4e86\u51fa\u8272\u7684\u91cf\u5316\u6027\u80fd\uff0c\u5e76\u4e14\u9996\u6b21\u5728\u591a\u6a21\u6001LMs\u4e0a\u53d6\u5f97\u4e86\u6210\u529f\uff0c<a rel=\"noreferrer noopener\" href=\"https:\/\/arxiv.org\/pdf\/2306.00978.pdf\" target=\"_blank\">\u8bba\u6587\u5730\u5740<\/a>\u3002<\/p>\n\n\n\n<p>AutoAWQ \u662f\u4e00\u4e2a\u6613\u4e8e\u4f7f\u7528\u7684 4 \u6bd4\u7279\u91cf\u5316\u6a21\u578b\u5305\u3002 \u4e0e FP16 \u76f8\u6bd4\uff0cAutoAWQ \u5c06\u6a21\u578b\u901f\u5ea6\u63d0\u9ad8\u4e86 3 \u500d\uff0c\u5e76\u5c06\u5bf9\u5185\u5b58\u9700\u6c42\u964d\u4f4e\u4e86 3 \u500d\u3002 AutoAWQ \u5b9e\u73b0\u6fc0\u6d3b\u611f\u77e5\u6743\u91cd\u91cf\u5316 (AWQ) \u7b97\u6cd5\u6765\u91cf\u5316 LLM\u3002 AutoAWQ \u662f\u5728 MIT \u7684\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/link.juejin.cn\/?target=https%3A%2F%2Fgithub.com%2Fmit-han-lab%2Fllm-awq\" target=\"_blank\">LLM-AWQ<\/a>\u00a0\u57fa\u7840\u4e0a\u521b\u5efa\u548c\u6539\u8fdb\u7684\u3002<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" src=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52-1024x388.png\" alt=\"\" class=\"wp-image-17346\" width=\"605\" height=\"229\" srcset=\"http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52-1024x388.png 1024w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52-300x114.png 300w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52-768x291.png 768w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52-1536x582.png 1536w, http:\/\/139.9.1.231\/wp-content\/uploads\/2024\/08\/image-52.png 1861w\" sizes=\"(max-width: 605px) 100vw, 605px\" \/><\/figure><\/div>\n\n\n\n<p>6\u3001<strong>GPT-Q\uff1aGPT\u6a21\u578b\u7684\u8bad\u7ec3\u540e\u91cf\u5316<\/strong><\/p>\n\n\n\n<p>GPTQ \u662f\u4e00\u79cd\u9488\u5bf94\u4f4d\u91cf\u5316\u7684<strong>\u8bad\u7ec3\u540e\u91cf\u5316&nbsp;(PTQ) \u65b9<\/strong>\u6cd5\uff0c\u4e3b\u8981\u5173\u6ce8<strong>GPU<\/strong>\u63a8\u7406\u548c\u6027\u80fd\u3002<\/p>\n\n\n\n<p>\u8be5\u65b9\u6cd5\u7684\u601d\u60f3\u662f\u901a\u8fc7\u5c06\u6240\u6709\u6743\u91cd\u538b\u7f29\u52304\u4f4d\u91cf\u5316\u4e2d\uff0c\u901a\u8fc7\u6700\u5c0f\u5316\u4e0e\u8be5\u6743\u91cd\u7684\u5747\u65b9\u8bef\u5dee\u6765\u5b9e\u73b0\u3002\u5728\u63a8\u7406\u8fc7\u7a0b\u4e2d\uff0c\u5b83\u5c06\u52a8\u6001\u5730\u5c06\u6743\u91cd\u89e3\u91cf\u5316\u4e3afloat16\uff0c\u4ee5\u63d0\u9ad8\u6027\u80fd\uff0c\u540c\u65f6\u4fdd\u6301\u5185\u5b58\u8f83\u4f4e\u3002\u5177\u4f53\u64cd\u4f5c\u5305\u62ec\u4ee5\u4e0b\u51e0\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<p><strong>\u7f29\u653e<\/strong>\uff1a\u5c06\u8f93\u5165\u5f20\u91cfx\u9664\u4ee5\u7f29\u653e\u56e0\u5b50scale\u3002\u8fd9\u4e00\u6b65\u662f\u4e3a\u4e86\u5c06x\u7684\u503c\u8303\u56f4\u8c03\u6574\u5230\u9884\u671f\u7684\u91cf\u5316\u8303\u56f4\u3002<\/p>\n\n\n\n<p><strong>\u56db\u820d\u4e94\u5165<\/strong>\uff1a\u5c06\u7f29\u653e\u540e\u7684\u7ed3\u679c\u56db\u820d\u4e94\u5165\u5230\u6700\u8fd1\u7684\u6574\u6570\u3002\u8fd9\u4e00\u6b65\u662f\u4e3a\u4e86\u5c06x\u7684\u503c\u79bb\u6563\u5316\uff0c\u5373\u5c06\u5176\u8f6c\u6362\u4e3a\u6574\u6570\u3002<\/p>\n\n\n\n<p><strong>\u9650\u5236\u8303\u56f4<\/strong>\uff1a\u4f7f\u7528torch.clamp\u51fd\u6570\u5c06\u56db\u820d\u4e94\u5165\u540e\u7684\u7ed3\u679c\u9650\u5236\u57280\u548cmaxq\u4e4b\u95f4\u3002\u8fd9\u4e00\u6b65\u662f\u4e3a\u4e86\u786e\u4fdd\u91cf\u5316\u540e\u7684\u503c\u4e0d\u4f1a\u8d85\u51fa\u9884\u671f\u7684\u91cf\u5316\u8303\u56f4\u3002<strong>\u53cd\u7f29\u653e<\/strong>\uff1a\u5c06\u91cf\u5316\u540e\u7684\u5f20\u91cf\u51cf\u53bb\u96f6\u70b9zero\uff0c\u7136\u540e\u4e58\u4ee5\u7f29\u653e\u56e0\u5b50scale\u3002\u8fd9\u4e00\u6b65\u662f\u4e3a\u4e86\u5c06\u91cf\u5316\u540e\u7684\u503c\u6062\u590d\u5230\u539f\u59cb\u7684\u503c\u8303\u56f4\u3002<\/p>\n\n\n\n<p>7\u3001<strong>GGUF | GGML<\/strong><\/p>\n\n\n\n<p>GGUF\u662fGGML\u7684\u65b0\u7248\u672c\u3002\u5c3d\u7ba1 GPTQ \u5728\u538b\u7f29\u65b9\u9762\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u5982\u679c\u4f60\u6ca1\u6709\u8fd0\u884c\u5b83\u6240\u9700\u7684\u786c\u4ef6\uff0c\u5b83\u5bf9 GPU \u7684\u4f9d\u8d56\u6027\u53ef\u80fd\u4f1a\u6210\u4e3a\u4e00\u4e2a\u7f3a\u70b9\u3002<\/p>\n\n\n\n<p>GGUF\u662f\u4e00\u79cd\u91cf\u5316\u65b9\u6cd5\uff0c\u662fLLM\u5e93\u7684C++\u590d\u5236\u54c1\uff0c\u652f\u6301\u591a\u79cdLLM\uff0c\u5982LLaMA\u7cfb\u5217\u548cFalcon\u7b49\u3002\u5b83\u5141\u8bb8\u7528\u6237\u5728 CPU \u4e0a\u8fd0\u884c LLM\uff0c\u540c\u65f6\u5c06\u5176\u90e8\u5206\u5c42\u6b21\u8f6c\u79fb\u5230 GPU \u4e0a\u4ee5\u52a0\u901f\u8fd0\u884c\u3002\u5c3d\u7ba1\u4f7f\u7528 CPU \u901a\u5e38\u6bd4\u4f7f\u7528 GPU \u8fdb\u884c\u63a8\u7406\u8981\u6162\uff0c\u4f46\u5bf9\u4e8e\u5728 CPU \u6216 Apple \u8bbe\u5907\u4e0a\u8fd0\u884c\u6a21\u578b\u7684\u4eba\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u79cd\u975e\u5e38\u597d\u7684\u683c\u5f0f\u3002\u7279\u522b\u662f\u6211\u4eec\u770b\u5230\u51fa\u73b0\u4e86\u66f4\u5c0f\u3001\u66f4\u5f3a\u5927\u7684\u6a21\u578b\uff0c\u5982 Mistral 7B\uff0cGGUF \u683c\u5f0f\u53ef\u80fd\u4f1a\u6210\u4e3a\u4e00\u79cd\u5e38\u89c1\u7684\u683c\u5f0f\u5b83\u63d0\u4f9b\u4e86\u4ece2\u52308\u4f4d\u7cbe\u5ea6\u7684\u4e0d\u540c\u7ea7\u522b\u7684\u91cf\u5316\u3002\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u539f\u59cb\u7684LLaMA\u6a21\u578b\uff0c\u5c06\u5176\u8f6c\u6362\u4e3aGGUF\u683c\u5f0f\uff0c\u6700\u540e\u5c06GGUF\u683c\u5f0f\u91cf\u5316\u4e3a\u8f83\u4f4e\u7684\u7cbe\u5ea6\u3002<\/p>\n\n\n\n<p>8\u3001<strong>PTQ\u00a0\u8bad\u7ec3\u540e\u91cf\u5316(Post-Training Quantization)<\/strong><\/p>\n\n\n\n<p>        PTQ\u662f\u4e00\u79cd\u5e38\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u91cf\u5316\u6280\u672f\u3002\u5b83\u7684\u57fa\u672c\u539f\u7406\u662f\u5728\u6a21\u578b\u8bad\u7ec3\u540e\uff0c\u901a\u8fc7\u5bf9\u6a21\u578b\u8fdb\u884c\u91cf\u5316\uff0c\u5c06\u6a21\u578b\u7684\u6d6e\u70b9\u6570\u6743\u91cd\u548c\u6fc0\u6d3b\u8f6c\u6362\u4e3a\u8f83\u4f4e\u7cbe\u5ea6\u7684\u8868\u793a\uff0c\u4ece\u800c\u51cf\u5c0f\u6a21\u578b\u5927\u5c0f\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u540c\u65f6\u4fdd\u6301\u6a21\u578b\u7684\u7cbe\u5ea6\u635f\u5931\u8f83\u5c0f\u3002PTQ\u65b9\u6cd5\u5206\u4e3a\u4e24\u7c7b\uff1a\u53ea\u91cf\u5316\u6a21\u578b\u6743\u91cd\u7684\u65b9\u6cd5\u548c\u540c\u65f6\u91cf\u5316\u6743\u91cd\u548c\u6fc0\u6d3b\u7684\u65b9\u6cd5\uff0c\u50cf\u540e\u9762\u8981\u8bf4\u7684AQLM\u5c31\u662f\u7b2c\u4e00\u7c7b\u65b9\u6cd5<\/p>\n\n\n\n<p>9\u3001\u00a0<strong>QAT \u8bad\u7ec3\u611f\u77e5\u7684\u91cf\u5316<\/strong><\/p>\n\n\n\n<p>        QAT \u7684\u57fa\u672c\u601d\u60f3\u662f\u6839\u636e\u8be5\u5c42\u6743\u91cd\u7684\u7cbe\u5ea6\u5c06\u8f93\u5165\u91cf\u5316\u4e3a\u8f83\u4f4e\u7684\u7cbe\u5ea6\u3002QAT \u8fd8\u8d1f\u8d23\u5728\u4e0b\u4e00\u5c42\u9700\u8981\u65f6\u5c06\u6743\u91cd\u548c\u8f93\u5165\u76f8\u4e58\u7684\u8f93\u51fa\u8f6c\u6362\u56de\u8f83\u9ad8\u7684\u7cbe\u5ea6\u3002\u8fd9\u4e2a\u5c06\u8f93\u5165\u91cf\u5316\u4e3a\u8f83\u4f4e\u7cbe\u5ea6\uff0c\u7136\u540e\u5c06\u6743\u91cd\u548c\u8f93\u5165\u7684\u8f93\u51fa\u8f6c\u6362\u56de\u8f83\u9ad8\u7cbe\u5ea6\u7684\u8fc7\u7a0b\u4e5f\u79f0\u4e3a\u201c\u4f2a\u91cf\u5316\u8282\u70b9\u63d2\u5165\u201d\u3002\u8fd9\u79cd\u91cf\u5316\u88ab\u79f0\u4e3a\u4f2a\u91cf\u5316\uff0c\u56e0\u4e3a\u5b83\u65e2\u8fdb\u884c\u4e86\u91cf\u5316\uff0c\u53c8\u8fdb\u884c\u4e86\u53cd\u91cf\u5316\uff0c\u8f6c\u6362\u6210\u4e86\u57fa\u672c\u64cd\u4f5c\u3002<\/p>\n\n\n\n<p><strong>10\u3001AQLM (Additive Quantization LM) <\/strong><\/p>\n\n\n\n<p>\u589e\u91cf\u8bed\u8a00\u6a21\u578b\u91cf\u5316\uff08AQLM\uff09\u4e8e2024\u5e742\u6708\u53d1\u5e03\uff0c\u5df2\u7ecf\u96c6\u6210\u5230\u4e86HuggingFace\u4e2d\u3002\u73b0\u6709\u7684\u4ec5\u6743\u91cd\u91cf\u5316\u7b97\u6cd5\u5728\u6280\u672f\u4e0a\u53ef\u4ee5\u5c06\u6a21\u578b\u6743\u91cd\u91cf\u5316\u52302\u4f4d\u8303\u56f4\u3002\u7136\u800c\uff0c\u5b83\u4eec\u672a\u80fd\u6709\u6548\u5730\u4fdd\u6301\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002AQLM\u662f\u4e00\u79cd\u65b0\u7684\u4ec5\u6743\u91cd\u540e\u8bad\u7ec3\u91cf\u5316\uff08PTQ\uff09\u7b97\u6cd5\uff0c\u4e3a2\u6bd4\u7279\/\u6bcf\u53c2\u6570\u8303\u56f4\u8bbe\u5b9a\u4e86\u65b0\u7684\u6280\u672f\u6c34\u5e73\u3002\u4e0e\u73b0\u6709\u65b9\u6cd5\u76f8\u6bd4\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u66f4\u5c0f\u7684\u57fa\u51c6\u6539\u8fdb\uff0c\u9002\u7528\u4e8e3\u4f4d\u548c4\u4f4d\u8303\u56f4\u3002\u5177\u4f53\u6765\u8bf4\uff0cAQLM\u4f18\u4e8e\u6d41\u884c\u7684\u7b97\u6cd5\u5982GPTQ\uff0c\u4ee5\u53ca\u66f4\u8fd1\u671f\u4f46\u8f83\u4e0d\u77e5\u540d\u7684\u65b9\u6cd5\u5982SpQR\u548cQuIP#\u3002<\/p>\n\n\n\n<p><a><\/a><a><\/a>\u603b\u7ed3<\/p>\n\n\n\n<ul><li><code>base<\/code>&nbsp;\u6a21\u578b\u662f\u901a\u7528\u57fa\u7840\u6a21\u578b\uff0c\u9002\u5408\u8fdb\u4e00\u6b65\u5fae\u8c03\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\u3002<\/li><li><code>chat<\/code>&nbsp;\u6a21\u578b\u4e13\u4e3a\u5bf9\u8bdd\u7cfb\u7edf\u8bbe\u8ba1\uff0c\u64c5\u957f\u751f\u6210\u81ea\u7136\u8bed\u8a00\u5bf9\u8bdd\u3002<\/li><li><code>instruct<\/code>&nbsp;\u6a21\u578b\u4e13\u4e3a\u6267\u884c\u5177\u4f53\u6307\u4ee4\u8bbe\u8ba1\uff0c\u64c5\u957f\u7406\u89e3\u548c\u6267\u884c\u7528\u6237\u63d0\u4f9b\u7684\u4efb\u52a1\u3002<\/li><li><code>4bit<\/code>&nbsp;\u6a21\u578b\u901a\u8fc7\u4f4e\u7cbe\u5ea6\u91cf\u5316\u6280\u672f\u51cf\u5c0f\u4e86\u5185\u5b58\u5360\u7528\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u9002\u5408\u8d44\u6e90\u53d7\u9650\u73af\u5883\u3002<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ec0\u4e48\u662fBase\u6a21\u578b\uff1f\u4ec0\u4e48\u662fchat\u6a21\u578b\uff1f\u4ec0\u4e48\u662finstruct\uff1f\u4ec0\u4e48\u662f4Bit\uff1f\u4ec0\u4e48\u662fAWQ\u6a21\u578b\uff1f \u5927\u6a21\u578b\u5e93\u4e2d &hellip; <a href=\"http:\/\/139.9.1.231\/index.php\/2024\/08\/15\/llm-base\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u5927\u6a21\u578b\u57fa\u672c\u6982\u5ff5<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[21,4,38],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/17331"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=17331"}],"version-history":[{"count":32,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/17331\/revisions"}],"predecessor-version":[{"id":17365,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/17331\/revisions\/17365"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=17331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=17331"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=17331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}