{"id":6650,"date":"2024-09-26T06:26:15","date_gmt":"2024-09-25T22:26:15","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=6650"},"modified":"2025-04-17T19:41:14","modified_gmt":"2025-04-17T11:41:14","slug":"gpt4all","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/gpt4all\/","title":{"rendered":"GPT4All\uff1a\u652f\u6301CPU\u8fd0\u884c\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u5ba2\u6237\u7aef\uff0c\u91cd\u89c6\u672c\u5730\u5316\u4e0e\u6570\u636e\u5b89\u5168"},"content":{"rendered":"<h2>GPT4All \u7efc\u5408\u4ecb\u7ecd<\/h2>\n<p>GPT-4All \u662f\u7531 Nomic \u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u8ba9\u7528\u6237\u5728\u672c\u5730\u8bbe\u5907\u4e0a\u8fd0\u884c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u3002\u8be5\u9879\u76ee\u5f3a\u8c03\u9690\u79c1\u4fdd\u62a4\uff0c\u65e0\u9700\u4e92\u8054\u7f51\u8fde\u63a5\u5373\u53ef\u4f7f\u7528\uff0c\u9002\u7528\u4e8e\u4e2a\u4eba\u548c\u4f01\u4e1a\u7528\u6237\u3002GPT-4All \u652f\u6301\u591a\u79cd\u786c\u4ef6\uff0c\u5305\u62ec Mac M \u7cfb\u5217\u82af\u7247\u3001AMD \u548c NVIDIA GPU\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u684c\u9762\u548c\u7b14\u8bb0\u672c\u7535\u8111\u4e0a\u8f7b\u677e\u8fd0\u884c\u3002\u8be5\u9879\u76ee\u8fd8\u63d0\u4f9b\u4e30\u5bcc\u7684\u5f00\u6e90\u6a21\u578b\u548c\u793e\u533a\u652f\u6301\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u81ea\u5b9a\u4e49\u804a\u5929\u673a\u5668\u4eba\u4f53\u9a8c\u3002<\/p>\n<p>&nbsp;<\/p>\n<blockquote><p>GPT4All \u662f\u4e00\u4e2a\u751f\u6001\u7cfb\u7edf\uff0c\u7528\u4e8e\u8fd0\u884c\u529f\u80fd\u5f3a\u5927\u4e14\u81ea\u5b9a\u4e49\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff0c\u8fd9\u4e9b\u6a21\u578b\u53ef\u5728\u6d88\u8d39\u7ea7 CPU \u548c\u4efb\u4f55 GPU \u4e0a\u672c\u5730\u8fd0\u884c\u3002\u8bf7\u6ce8\u610f\uff0c\u60a8\u7684 CPU \u9700\u8981\u652f\u6301 AVX \u6216 AVX2 \u6307\u4ee4\u3002<\/p>\n<p>GPT4All\u6a21\u578b\u662f\u4e00\u4e2a3GB &#8211; 8GB\u7684\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u4e0b\u8f7d\u5e76\u63d2\u5165GPT4All\u5f00\u6e90\u751f\u6001\u7cfb\u7edf\u8f6f\u4ef6\u4e2d\u3002Nomic AI\u652f\u6301\u5e76\u7ef4\u62a4\u8fd9\u4e2a\u8f6f\u4ef6\u751f\u6001\u7cfb\u7edf\uff0c\u4ee5\u786e\u4fdd\u8d28\u91cf\u548c\u5b89\u5168\uff0c\u5e76\u5e26\u5934\u52aa\u529b\u8ba9\u4efb\u4f55\u4e2a\u4eba\u6216\u4f01\u4e1a\u8f7b\u677e\u8bad\u7ec3\u548c\u90e8\u7f72\u4ed6\u4eec\u81ea\u5df1\u7684\u8fb9\u7f18\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n<p>\u5b83\u4e0d\u9700\u8981GPU\u6216\u4e92\u8054\u7f51\u8fde\u63a5\uff0c\u80fd\u591f\u5728M1 Mac\u4e0a\u5b9e\u73b0\u5b9e\u65f6\u63a8\u7406\u5ef6\u8fdf\u3002<\/p><\/blockquote>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" title=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/09\/2b6f28d1632ce9d.jpg\" alt=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" title=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/09\/32fd7aec65b1430.gif\" alt=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-1\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" title=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2024\/09\/d397a21ebe5bb56.png\" alt=\"GPT4All\uff1a\u672c\u5730\u8fd0\u884c\u7684\u79c1\u5bc6\u667a\u80fd\u8bed\u8a00\u6a21\u578b-2\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u7279\u8272<\/h2>\n<p><strong>\u60a8\u7684\u804a\u5929\u5185\u5bb9\u662f\u79c1\u5bc6\u7684\uff0c\u6c38\u8fdc\u4e0d\u4f1a\u79bb\u5f00\u60a8\u7684\u8bbe\u5907<\/strong><br \/>\nGPT4All \u4ee5\u9690\u79c1\u548c\u5b89\u5168\u4e3a\u7b2c\u4e00\u8981\u52a1\u3002\u4f7f\u7528 LLM \u5904\u7406\u60a8\u7684\u654f\u611f\u672c\u5730\u6570\u636e\uff0c\u8fd9\u4e9b\u6570\u636e\u6c38\u8fdc\u4e0d\u4f1a\u79bb\u5f00\u60a8\u7684\u8bbe\u5907\u3002<\/p>\n<p><strong>\u6d88\u8d39\u7ea7\u786c\u4ef6\u4e0a\u8fd0\u884c\u8bed\u8a00\u6a21\u578b<\/strong><br \/>\nGPT4All \u5141\u8bb8\u60a8\u5728 CPU \u548c GPU \u4e0a\u8fd0\u884c LLM\u3002\u5b83\u5b8c\u5168\u652f\u6301 Mac M \u7cfb\u5217\u82af\u7247\u3001AMD \u548c NVIDIA GPU\u3002<\/p>\n<p><strong>\u4e0e\u672c\u5730\u6587\u4ef6\u804a\u5929<\/strong><br \/>\n\u4f7f\u7528 LocalDocs \u6388\u4e88\u60a8\u5f53\u5730\u7684 LLM \u8bbf\u95ee\u60a8\u7684\u79c1\u4eba\u654f\u611f\u4fe1\u606f\u7684\u6743\u9650\u3002\u5b83\u65e0\u9700\u4e92\u8054\u7f51\u5373\u53ef\u5de5\u4f5c\uff0c\u5e76\u4e14\u4e0d\u4f1a\u6709\u4efb\u4f55\u6570\u636e\u79bb\u5f00\u60a8\u7684\u8bbe\u5907\u3002<\/p>\n<p><strong>\u63a2\u7d22 1000 \u591a\u79cd\u5f00\u6e90\u8bed\u8a00\u6a21\u578b<\/strong><br \/>\nGPT4All \u652f\u6301 LLaMa\u3001Mistral\u3001Nous-Hermes \u7b49\u6570\u767e\u79cd\u6d41\u884c\u6a21\u578b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u672c\u5730\u8fd0\u884c<\/strong>\uff1a\u65e0\u9700\u4e92\u8054\u7f51\u8fde\u63a5\uff0c\u5728\u672c\u5730\u8bbe\u5907\u4e0a\u8fd0\u884c LLMs\u3002<\/li>\n<li><strong>\u9690\u79c1\u4fdd\u62a4<\/strong>\uff1a\u6240\u6709\u6570\u636e\u5747\u4fdd\u5b58\u5728\u672c\u5730\uff0c\u786e\u4fdd\u7528\u6237\u9690\u79c1\u3002<\/li>\n<li><strong>\u591a\u786c\u4ef6\u652f\u6301<\/strong>\uff1a\u517c\u5bb9 Mac M \u7cfb\u5217\u82af\u7247\u3001AMD \u548c NVIDIA GPU\u3002<\/li>\n<li><strong>\u5f00\u6e90\u793e\u533a<\/strong>\uff1a\u4e30\u5bcc\u7684\u5f00\u6e90\u6a21\u578b\u548c\u793e\u533a\u652f\u6301\u3002<\/li>\n<li><strong>\u81ea\u5b9a\u4e49\u529f\u80fd<\/strong>\uff1a\u7528\u6237\u53ef\u4ee5\u81ea\u5b9a\u4e49\u804a\u5929\u673a\u5668\u4eba\u7684\u7cfb\u7edf\u63d0\u793a\u3001\u6e29\u5ea6\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u7b49\u53c2\u6570\u3002<\/li>\n<li><strong>\u4f01\u4e1a\u7248<\/strong>\uff1a\u63d0\u4f9b\u4f01\u4e1a\u7ea7\u652f\u6301\u548c\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u90e8\u7f72\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<ol>\n<li><strong>\u4e0b\u8f7d\u5e94\u7528\u7a0b\u5e8f<\/strong>\uff1a\n<ul>\n<li>\u8bbf\u95ee\u00a0<a href=\"https:\/\/www.nomic.ai\/gpt4all\" target=\"_blank\" rel=\"noopener\">Nomic \u5b98\u65b9\u7f51\u7ad9<\/a>\u00a0\u4e0b\u8f7d\u9002\u7528\u4e8e Windows\u3001macOS \u6216 Ubuntu \u7684\u5b89\u88c5\u5305\u3002<\/li>\n<li>Windows \u548c Linux \u7528\u6237\u9700\u786e\u4fdd\u8bbe\u5907\u914d\u5907 Intel Core i3 2nd Gen \/ AMD Bulldozer \u6216\u66f4\u9ad8\u7248\u672c\u7684\u5904\u7406\u5668\u3002<\/li>\n<li>macOS \u7528\u6237\u9700\u8fd0\u884c Monterey 12.6 \u6216\u66f4\u65b0\u7248\u672c\uff0c\u6700\u4f73\u6548\u679c\u5728 Apple Silicon M \u7cfb\u5217\u5904\u7406\u5668\u4e0a\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u5b89\u88c5\u5e94\u7528\u7a0b\u5e8f<\/strong>\uff1a\n<ul>\n<li>Windows \u7528\u6237\uff1a\u8fd0\u884c\u4e0b\u8f7d\u7684\u5b89\u88c5\u5305\u5e76\u6309\u7167\u63d0\u793a\u5b8c\u6210\u5b89\u88c5\u3002<\/li>\n<li>macOS \u7528\u6237\uff1a\u5c06\u4e0b\u8f7d\u7684\u5e94\u7528\u7a0b\u5e8f\u62d6\u52a8\u5230\u201c\u5e94\u7528\u7a0b\u5e8f\u201d\u6587\u4ef6\u5939\u4e2d\u3002<\/li>\n<li>Ubuntu \u7528\u6237\uff1a\u4f7f\u7528\u547d\u4ee4\u884c\u5b89\u88c5\u4e0b\u8f7d\u7684\u5305\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u542f\u52a8\u5e94\u7528\u7a0b\u5e8f<\/strong>\uff1a\n<ul>\n<li>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00 GPT-4All \u5e94\u7528\u7a0b\u5e8f\uff0c\u6309\u7167\u63d0\u793a\u8fdb\u884c\u521d\u59cb\u8bbe\u7f6e\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u6307\u5357<\/h3>\n<ol>\n<li><strong>\u8fd0\u884c\u672c\u5730\u6a21\u578b<\/strong>\uff1a\n<ul>\n<li>\u6253\u5f00\u5e94\u7528\u7a0b\u5e8f\u540e\uff0c\u9009\u62e9\u6240\u9700\u7684\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4e0b\u8f7d\u548c\u52a0\u8f7d\u3002<\/li>\n<li>\u652f\u6301\u591a\u79cd\u6a21\u578b\uff0c\u5305\u62ec LLaMa\u3001Mistral\u3001Nous-Hermes \u7b49\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u81ea\u5b9a\u4e49\u804a\u5929\u673a\u5668\u4eba<\/strong>\uff1a\n<ul>\n<li>\u5728\u8bbe\u7f6e\u4e2d\u8c03\u6574\u7cfb\u7edf\u63d0\u793a\u3001\u6e29\u5ea6\u3001\u4e0a\u4e0b\u6587\u957f\u5ea6\u7b49\u53c2\u6570\uff0c\u4ee5\u4f18\u5316\u804a\u5929\u4f53\u9a8c\u3002<\/li>\n<li>\u4f7f\u7528 LocalDocs \u529f\u80fd\uff0c\u5141\u8bb8\u672c\u5730 LLM \u8bbf\u95ee\u60a8\u7684\u79c1\u4eba\u6570\u636e\uff0c\u65e0\u9700\u4e92\u8054\u7f51\u8fde\u63a5\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4f01\u4e1a\u7248\u529f\u80fd<\/strong>\uff1a\n<ul>\n<li>\u4f01\u4e1a\u7528\u6237\u53ef\u4ee5\u8054\u7cfb Nomic \u83b7\u53d6\u4f01\u4e1a\u7248\u8bb8\u53ef\u8bc1\uff0c\u4eab\u53d7\u66f4\u591a\u652f\u6301\u548c\u529f\u80fd\u3002<\/li>\n<li>\u4f01\u4e1a\u7248\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u90e8\u7f72\uff0c\u63d0\u4f9b\u66f4\u9ad8\u7684\u5b89\u5168\u6027\u548c\u652f\u6301\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1a\n<ul>\n<li>\u52a0\u5165 GPT-4All \u793e\u533a\uff0c\u53c2\u4e0e\u8ba8\u8bba\u548c\u8d21\u732e\u4ee3\u7801\u3002<\/li>\n<li>\u8bbf\u95ee <a href=\"https:\/\/github.com\/nomic-ai\/gpt4all\">GitHub\u4ed3\u5e93<\/a> \u83b7\u53d6\u6700\u65b0\u7684\u66f4\u65b0\u548c\u6587\u6863\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u5e38\u89c1\u95ee\u9898<\/h3>\n<ul>\n<li><strong>\u5982\u4f55\u786e\u4fdd\u6570\u636e\u9690\u79c1\uff1f<\/strong>\u00a0GPT-4All \u6240\u6709\u6570\u636e\u5747\u4fdd\u5b58\u5728\u672c\u5730\u8bbe\u5907\u4e0a\uff0c\u786e\u4fdd\u7528\u6237\u9690\u79c1\u4e0d\u53d7\u4fb5\u72af\u3002<\/li>\n<li><strong>\u662f\u5426\u9700\u8981\u4e92\u8054\u7f51\u8fde\u63a5\uff1f<\/strong>\u00a0\u4e0d\u9700\u8981\u3002GPT-4All \u53ef\u4ee5\u5728\u672c\u5730\u8bbe\u5907\u4e0a\u5b8c\u5168\u79bb\u7ebf\u8fd0\u884c\u3002<\/li>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u786c\u4ef6\uff1f<\/strong>\u00a0\u652f\u6301 Mac M \u7cfb\u5217\u82af\u7247\u3001AMD \u548c NVIDIA GPU\uff0c\u4ee5\u53ca\u5e38\u89c1\u7684\u684c\u9762\u548c\u7b14\u8bb0\u672c\u7535\u8111\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>GPT4All \u6a21\u578b\u57fa\u51c6\u6d4b\u8bd5<\/h2>\n<p>&nbsp;<\/p>\n<table>\n<thead>\n<tr>\n<th>Model<\/th>\n<th>BoolQ<\/th>\n<th>PIQA<\/th>\n<th>HellaSwag<\/th>\n<th>WinoGrande<\/th>\n<th>ARC-e<\/th>\n<th>ARC-c<\/th>\n<th>OBQA<\/th>\n<th>Avg<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>GPT4All-J 6B v1.0<\/td>\n<td>73.4<\/td>\n<td>74.8<\/td>\n<td>63.4<\/td>\n<td>64.7<\/td>\n<td>54.9<\/td>\n<td>36<\/td>\n<td>40.2<\/td>\n<td>58.2<\/td>\n<\/tr>\n<tr>\n<td>GPT4All-J v1.1-breezy<\/td>\n<td>74<\/td>\n<td>75.1<\/td>\n<td>63.2<\/td>\n<td>63.6<\/td>\n<td>55.4<\/td>\n<td>34.9<\/td>\n<td>38.4<\/td>\n<td>57.8<\/td>\n<\/tr>\n<tr>\n<td>GPT4All-J v1.2-jazzy<\/td>\n<td>74.8<\/td>\n<td>74.9<\/td>\n<td>63.6<\/td>\n<td>63.8<\/td>\n<td>56.6<\/td>\n<td>35.3<\/td>\n<td>41<\/td>\n<td>58.6<\/td>\n<\/tr>\n<tr>\n<td>GPT4All-J v1.3-groovy<\/td>\n<td>73.6<\/td>\n<td>74.3<\/td>\n<td>63.8<\/td>\n<td>63.5<\/td>\n<td>57.7<\/td>\n<td>35<\/td>\n<td>38.8<\/td>\n<td>58.1<\/td>\n<\/tr>\n<tr>\n<td>GPT4All-J Lora 6B<\/td>\n<td>68.6<\/td>\n<td>75.8<\/td>\n<td>66.2<\/td>\n<td>63.5<\/td>\n<td>56.4<\/td>\n<td>35.7<\/td>\n<td>40.2<\/td>\n<td>58.1<\/td>\n<\/tr>\n<tr>\n<td>GPT4All LLaMa Lora 7B<\/td>\n<td>73.1<\/td>\n<td>77.6<\/td>\n<td>72.1<\/td>\n<td>67.8<\/td>\n<td>51.1<\/td>\n<td>40.4<\/td>\n<td>40.2<\/td>\n<td>60.3<\/td>\n<\/tr>\n<tr>\n<td>GPT4All 13B snoozy<\/td>\n<td>83.3<\/td>\n<td>79.2<\/td>\n<td>75<\/td>\n<td>71.3<\/td>\n<td>60.9<\/td>\n<td>44.2<\/td>\n<td>43.4<\/td>\n<td>65.3<\/td>\n<\/tr>\n<tr>\n<td>GPT4All Falcon<\/td>\n<td>77.6<\/td>\n<td>79.8<\/td>\n<td>74.9<\/td>\n<td>70.1<\/td>\n<td>67.9<\/td>\n<td>43.4<\/td>\n<td>42.6<\/td>\n<td>65.2<\/td>\n<\/tr>\n<tr>\n<td>Nous-Hermes<\/td>\n<td>79.5<\/td>\n<td>78.9<\/td>\n<td>80<\/td>\n<td>71.9<\/td>\n<td>74.2<\/td>\n<td>50.9<\/td>\n<td>46.4<\/td>\n<td>68.8<\/td>\n<\/tr>\n<tr>\n<td>Nous-Hermes2<\/td>\n<td>83.9<\/td>\n<td>80.7<\/td>\n<td>80.1<\/td>\n<td>71.3<\/td>\n<td>75.7<\/td>\n<td>52.1<\/td>\n<td>46.2<\/td>\n<td>70.0<\/td>\n<\/tr>\n<tr>\n<td>Nous-Puffin<\/td>\n<td>81.5<\/td>\n<td>80.7<\/td>\n<td>80.4<\/td>\n<td>72.5<\/td>\n<td>77.6<\/td>\n<td>50.7<\/td>\n<td>45.6<\/td>\n<td>69.9<\/td>\n<\/tr>\n<tr>\n<td>Dolly 6B<\/td>\n<td>68.8<\/td>\n<td>77.3<\/td>\n<td>67.6<\/td>\n<td>63.9<\/td>\n<td>62.9<\/td>\n<td>38.7<\/td>\n<td>41.2<\/td>\n<td>60.1<\/td>\n<\/tr>\n<tr>\n<td>Dolly 12B<\/td>\n<td>56.7<\/td>\n<td>75.4<\/td>\n<td>71<\/td>\n<td>62.2<\/td>\n<td>64.6<\/td>\n<td>38.5<\/td>\n<td>40.4<\/td>\n<td>58.4<\/td>\n<\/tr>\n<tr>\n<td>Alpaca 7B<\/td>\n<td>73.9<\/td>\n<td>77.2<\/td>\n<td>73.9<\/td>\n<td>66.1<\/td>\n<td>59.8<\/td>\n<td>43.3<\/td>\n<td>43.4<\/td>\n<td>62.5<\/td>\n<\/tr>\n<tr>\n<td>Alpaca Lora 7B<\/td>\n<td>74.3<\/td>\n<td>79.3<\/td>\n<td>74<\/td>\n<td>68.8<\/td>\n<td>56.6<\/td>\n<td>43.9<\/td>\n<td>42.6<\/td>\n<td>62.8<\/td>\n<\/tr>\n<tr>\n<td>GPT-J 6.7B<\/td>\n<td>65.4<\/td>\n<td>76.2<\/td>\n<td>66.2<\/td>\n<td>64.1<\/td>\n<td>62.2<\/td>\n<td>36.6<\/td>\n<td>38.2<\/td>\n<td>58.4<\/td>\n<\/tr>\n<tr>\n<td>LLama 7B<\/td>\n<td>73.1<\/td>\n<td>77.4<\/td>\n<td>73<\/td>\n<td>66.9<\/td>\n<td>52.5<\/td>\n<td>41.4<\/td>\n<td>42.4<\/td>\n<td>61.0<\/td>\n<\/tr>\n<tr>\n<td>LLama 13B<\/td>\n<td>68.5<\/td>\n<td>79.1<\/td>\n<td>76.2<\/td>\n<td>70.1<\/td>\n<td>60<\/td>\n<td>44.6<\/td>\n<td>42.2<\/td>\n<td>63.0<\/td>\n<\/tr>\n<tr>\n<td>Pythia 6.7B<\/td>\n<td>63.5<\/td>\n<td>76.3<\/td>\n<td>64<\/td>\n<td>61.1<\/td>\n<td>61.3<\/td>\n<td>35.2<\/td>\n<td>37.2<\/td>\n<td>56.9<\/td>\n<\/tr>\n<tr>\n<td>Pythia 12B<\/td>\n<td>67.7<\/td>\n<td>76.6<\/td>\n<td>67.3<\/td>\n<td>63.8<\/td>\n<td>63.9<\/td>\n<td>34.8<\/td>\n<td>38<\/td>\n<td>58.9<\/td>\n<\/tr>\n<tr>\n<td>Fastchat T5<\/td>\n<td>81.5<\/td>\n<td>64.6<\/td>\n<td>46.3<\/td>\n<td>61.8<\/td>\n<td>49.3<\/td>\n<td>33.3<\/td>\n<td>39.4<\/td>\n<td>53.7<\/td>\n<\/tr>\n<tr>\n<td>Fastchat Vicu\u00f1a 7B<\/td>\n<td>76.6<\/td>\n<td>77.2<\/td>\n<td>70.7<\/td>\n<td>67.3<\/td>\n<td>53.5<\/td>\n<td>41.2<\/td>\n<td>40.8<\/td>\n<td>61.0<\/td>\n<\/tr>\n<tr>\n<td>Fastchat Vicu\u00f1a 13B<\/td>\n<td>81.5<\/td>\n<td>76.8<\/td>\n<td>73.3<\/td>\n<td>66.7<\/td>\n<td>57.4<\/td>\n<td>42.7<\/td>\n<td>43.6<\/td>\n<td>63.1<\/td>\n<\/tr>\n<tr>\n<td>StableVicu\u00f1a RLHF<\/td>\n<td>82.3<\/td>\n<td>78.6<\/td>\n<td>74.1<\/td>\n<td>70.9<\/td>\n<td>61<\/td>\n<td>43.5<\/td>\n<td>44.4<\/td>\n<td>65.0<\/td>\n<\/tr>\n<tr>\n<td>StableLM Tuned<\/td>\n<td>62.5<\/td>\n<td>71.2<\/td>\n<td>53.6<\/td>\n<td>54.8<\/td>\n<td>52.4<\/td>\n<td>31.1<\/td>\n<td>33.4<\/td>\n<td>51.3<\/td>\n<\/tr>\n<tr>\n<td>StableLM Base<\/td>\n<td>60.1<\/td>\n<td>67.4<\/td>\n<td>41.2<\/td>\n<td>50.1<\/td>\n<td>44.9<\/td>\n<td>27<\/td>\n<td>32<\/td>\n<td>46.1<\/td>\n<\/tr>\n<tr>\n<td>Koala 13B<\/td>\n<td>76.5<\/td>\n<td>77.9<\/td>\n<td>72.6<\/td>\n<td>68.8<\/td>\n<td>54.3<\/td>\n<td>41<\/td>\n<td>42.8<\/td>\n<td>62.0<\/td>\n<\/tr>\n<tr>\n<td>Open Assistant Pythia 12B<\/td>\n<td>67.9<\/td>\n<td>78<\/td>\n<td>68.1<\/td>\n<td>65<\/td>\n<td>64.2<\/td>\n<td>40.4<\/td>\n<td>43.2<\/td>\n<td>61.0<\/td>\n<\/tr>\n<tr>\n<td>Mosaic MPT7B<\/td>\n<td>74.8<\/td>\n<td>79.3<\/td>\n<td>76.3<\/td>\n<td>68.6<\/td>\n<td>70<\/td>\n<td>42.2<\/td>\n<td>42.6<\/td>\n<td>64.8<\/td>\n<\/tr>\n<tr>\n<td>Mosaic mpt-instruct<\/td>\n<td>74.3<\/td>\n<td>80.4<\/td>\n<td>77.2<\/td>\n<td>67.8<\/td>\n<td>72.2<\/td>\n<td>44.6<\/td>\n<td>43<\/td>\n<td>65.6<\/td>\n<\/tr>\n<tr>\n<td>Mosaic mpt-chat<\/td>\n<td>77.1<\/td>\n<td>78.2<\/td>\n<td>74.5<\/td>\n<td>67.5<\/td>\n<td>69.4<\/td>\n<td>43.3<\/td>\n<td>44.2<\/td>\n<td>64.9<\/td>\n<\/tr>\n<tr>\n<td>Wizard 7B<\/td>\n<td>78.4<\/td>\n<td>77.2<\/td>\n<td>69.9<\/td>\n<td>66.5<\/td>\n<td>56.8<\/td>\n<td>40.5<\/td>\n<td>42.6<\/td>\n<td>61.7<\/td>\n<\/tr>\n<tr>\n<td>Wizard 7B Uncensored<\/td>\n<td>77.7<\/td>\n<td>74.2<\/td>\n<td>68<\/td>\n<td>65.2<\/td>\n<td>53.5<\/td>\n<td>38.7<\/td>\n<td>41.6<\/td>\n<td>59.8<\/td>\n<\/tr>\n<tr>\n<td>Wizard 13B Uncensored<\/td>\n<td>78.4<\/td>\n<td>75.5<\/td>\n<td>72.1<\/td>\n<td>69.5<\/td>\n<td>57.5<\/td>\n<td>40.4<\/td>\n<td>44<\/td>\n<td>62.5<\/td>\n<\/tr>\n<tr>\n<td>GPT4-x-Vicuna-13b<\/td>\n<td>81.3<\/td>\n<td>75<\/td>\n<td>75.2<\/td>\n<td>65<\/td>\n<td>58.7<\/td>\n<td>43.9<\/td>\n<td>43.6<\/td>\n<td>63.2<\/td>\n<\/tr>\n<tr>\n<td>Falcon 7b<\/td>\n<td>73.6<\/td>\n<td>80.7<\/td>\n<td>76.3<\/td>\n<td>67.3<\/td>\n<td>71<\/td>\n<td>43.3<\/td>\n<td>44.4<\/td>\n<td>65.2<\/td>\n<\/tr>\n<tr>\n<td>Falcon 7b instruct<\/td>\n<td>70.9<\/td>\n<td>78.6<\/td>\n<td>69.8<\/td>\n<td>66.7<\/td>\n<td>67.9<\/td>\n<td>42.7<\/td>\n<td>41.2<\/td>\n<td>62.5<\/td>\n<\/tr>\n<tr>\n<td>text-davinci-003<\/td>\n<td>88.1<\/td>\n<td>83.8<\/td>\n<td>83.4<\/td>\n<td>75.8<\/td>\n<td>83.9<\/td>\n<td>63.9<\/td>\n<td>51<\/td>\n<td>75.7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>GPT4All \u7efc\u5408\u4ecb\u7ecd GPT-4All \u662f\u7531 Nomic \u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\uff0c\u65e8\u5728\u8ba9\u7528\u6237\u5728\u672c\u5730\u8bbe\u5907\u4e0a\u8fd0\u884c\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u3002\u8be5\u9879\u76ee\u5f3a\u8c03\u9690\u79c1\u4fdd\u62a4\uff0c\u65e0\u9700\u4e92\u8054\u7f51\u8fde\u63a5\u5373\u53ef\u4f7f\u7528\uff0c\u9002\u7528\u4e8e\u4e2a\u4eba\u548c\u4f01\u4e1a\u7528\u6237\u3002GPT-4All \u652f\u6301\u591a\u79cd\u786c\u4ef6\uff0c\u5305\u62ec M&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61026,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[232],"class_list":["post-6650","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-bendebushukaiyuanba"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/6650","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=6650"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/6650\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61026"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=6650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=6650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=6650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}