{"id":19575,"date":"2025-01-28T10:17:28","date_gmt":"2025-01-28T02:17:28","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=19575"},"modified":"2025-01-28T10:17:59","modified_gmt":"2025-01-28T02:17:59","slug":"damoxingcanshuliangba","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/damoxingcanshuliangba\/","title":{"rendered":"\u5927\u6a21\u578b\u53c2\u6570\u91cf\u5982\u4f55\u8ba1\u7b97\uff1f7B\u300113B\u300165B \u7a76\u7adf\u4ee3\u8868\u4ec0\u4e48\uff1f"},"content":{"rendered":"<p>\u6700\u8fd1\uff0c\u8bb8\u591a\u4ece\u4e8b\u5927\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u670b\u53cb\u90fd\u5728\u8ba8\u8bba\u6a21\u578b\u53c2\u6570\u91cf\u548c\u6a21\u578b\u5927\u5c0f\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u8457\u540d\u7684\u7f8a\u9a7c\u7cfb\u5217 LLaMA \u5927\u6a21\u578b\uff0c\u5c31\u5305\u542b\u4e86\u00a0LLaMA-7B\u3001LLaMA-13B\u3001LLaMA-33B\u00a0\u548c\u00a0LLaMA-65B\u00a0\u56db\u79cd\u4e0d\u540c\u53c2\u6570\u89c4\u6a21\u7684\u7248\u672c\u3002<\/p>\n<p>\u8fd9\u91cc\u7684 \u201cB\u201d \u662f \u201cBillion\u201d \u7684\u7f29\u5199\uff0c\u4ee3\u8868\u5341\u4ebf\u3002\u56e0\u6b64\uff0c\u6700\u5c0f\u7684 LLaMA-7B \u6a21\u578b\u5305\u542b\u7ea6 70 \u4ebf\u4e2a\u53c2\u6570\uff0c\u800c\u6700\u5927\u7684 LLaMA-65B \u6a21\u578b\u5219\u5305\u542b\u7ea6 650 \u4ebf\u4e2a\u53c2\u6570\u3002<\/p>\n<p>\u90a3\u4e48\uff0c\u8fd9\u4e9b\u53c2\u6570\u91cf\u662f\u5982\u4f55\u8ba1\u7b97\u51fa\u6765\u7684\u5462\uff1f\u6b64\u5916\uff0c\u4e00\u4e2a 100GB \u7684\u6a21\u578b\u6587\u4ef6\uff0c\u5bf9\u5e94\u7684\u5927\u6a21\u578b\u53c2\u6570\u91cf\u5927\u6982\u662f\u4ec0\u4e48\u7ea7\u522b\uff1f\u5341\u4ebf\u3001\u767e\u4ebf\u3001\u5343\u4ebf\u8fd8\u662f\u4e07\u4ebf\uff1f\u672c\u6587\u5c06\u6df1\u5165\u6d45\u51fa\u5730\u89e3\u7b54\u8fd9\u4e9b\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u4e00\u3001\u5927\u6a21\u578b\u53c2\u6570\u91cf\u8ba1\u7b97\u65b9\u6cd5<\/h2>\n<p>\u6211\u4eec\u5c06\u4ee5\u5927\u6a21\u578b\u7684\u57fa\u7840\u67b6\u6784\u2014\u2014Transformer \u4e3a\u4f8b\uff0c\u8be6\u7ec6\u89e3\u6790\u53c2\u6570\u91cf\u7684\u8ba1\u7b97\u8fc7\u7a0b\u3002<\/p>\n<p>\u4e00\u4e2a\u6807\u51c6\u7684 <a href=\"https:\/\/www.kdjingpai.com\/en\/transformer\/\">Transformer<\/a> \u6a21\u578b\u7531\u00a0L\u00a0\u4e2a\u76f8\u540c\u7684\u5c42\u5806\u53e0\u800c\u6210\uff0c\u6bcf\u4e2a\u5c42\u5305\u542b\u4e24\u4e2a\u4e3b\u8981\u90e8\u5206\uff1a\u81ea\u6ce8\u610f\u529b\u5c42 (Self-Attention)\u00a0\u548c\u00a0\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u5c42 (MLP)\u3002<\/p>\n<h3>1. \u81ea\u6ce8\u610f\u529b\u5c42 (Self-Attention)<\/h3>\n<p>\u81ea\u6ce8\u610f\u529b\u673a\u5236\u662f Transformer \u7684\u6838\u5fc3\u3002\u65e0\u8bba\u662f\u5355\u5934\u81ea\u6ce8\u610f\u529b (Self-Attention) \u8fd8\u662f\u591a\u5934\u81ea\u6ce8\u610f\u529b (Multi-Head Self-Attention, MHA)\uff0c\u5176\u6838\u5fc3\u7684\u53c2\u6570\u91cf\u8ba1\u7b97\u65b9\u5f0f\u662f\u76f8\u540c\u7684\u3002<\/p>\n<p>\u5728\u81ea\u6ce8\u610f\u529b\u5c42\u4e2d\uff0c\u8f93\u5165\u5e8f\u5217\u9996\u5148\u4f1a\u88ab\u6620\u5c04\u6210\u4e09\u4e2a\u5411\u91cf\uff1a\u67e5\u8be2\u5411\u91cf (Query, Q)\u3001\u952e\u5411\u91cf (Key, K)\u00a0\u548c\u00a0\u503c\u5411\u91cf (Value, V)\u3002\u5728 MHA \u4e2d\uff0c\u8fd9\u4e09\u4e2a\u5411\u91cf\u4f1a\u88ab\u8fdb\u4e00\u6b65\u5206\u5272\u5230\u591a\u4e2a\u5934\u4e2d\uff0c\u6bcf\u4e2a\u5934\u8d1f\u8d23\u5173\u6ce8\u8f93\u5165\u5e8f\u5217\u7684\u4e0d\u540c\u90e8\u5206\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/ed878868fe6328c.png\" alt=\"alt text\" \/><\/p>\n<ul>\n<li><strong>\u5355\u5934\u81ea\u6ce8\u610f\u529b:<\/strong>\u00a0Q, K, V \u5206\u522b\u901a\u8fc7\u4e00\u4e2a\u5f62\u72b6\u4e3a [h, h] \u7684\u6743\u91cd\u77e9\u9635\u8fdb\u884c\u7ebf\u6027\u53d8\u6362\uff0c\u5176\u4e2d h \u662f\u9690\u85cf\u5c42\u7ef4\u5ea6\u3002\u56e0\u6b64\uff0cQ, K, V \u7684\u603b\u53c2\u6570\u91cf\u4e3a 3h\u00b2\u3002\u6b64\u5916\uff0c\u8fd8\u6709\u4e00\u4e2a\u7528\u4e8e\u8f93\u51fa\u7684\u7ebf\u6027\u53d8\u6362\u5c42\uff0c\u6743\u91cd\u77e9\u9635\u5f62\u72b6\u540c\u6837\u4e3a [h, h]\u3002\u56e0\u6b64\uff0c\u5355\u5934\u81ea\u6ce8\u610f\u529b\u7684\u603b\u53c2\u6570\u91cf\u4e3a\u00a0<strong>4h\u00b2<\/strong>\u00a0(\u5ffd\u7565\u504f\u7f6e\u9879)\u3002<\/li>\n<li><strong>\u591a\u5934\u81ea\u6ce8\u610f\u529b (MHA):<\/strong>\u00a0\u5047\u8bbe\u6709 n_head \u4e2a\u5934\uff0c\u6bcf\u4e2a\u5934\u7684\u7ef4\u5ea6\u662f h_head = h \/ n_head\u3002\u6bcf\u4e2a\u5934\u90fd\u6709\u72ec\u7acb\u7684 Q, K, V \u6743\u91cd\u77e9\u9635\uff0c\u5f62\u72b6\u90fd\u662f [h, h_head]\u3002\u56e0\u6b64\uff0c\u6bcf\u4e2a\u5934\u7684 Q, K, V \u6743\u91cd\u77e9\u9635\u53c2\u6570\u91cf\u662f 3 * h * h_head = 3h\u00b2\/n_head\u3002n_head \u4e2a\u5934\u7684\u53c2\u6570\u91cf\u603b\u5171\u662f n_head * (3h\u00b2\/n_head) = 3h\u00b2\u3002\u6700\u540e\uff0c\u8f93\u51fa\u5c42\u7684\u7ebf\u6027\u53d8\u6362\u6743\u91cd\u77e9\u9635\u5f62\u72b6\u662f [h, h]\u3002\u6240\u4ee5 MHA \u7684\u603b\u53c2\u6570\u91cf\u4e5f\u662f\u00a0<strong>4h\u00b2<\/strong>\u00a0(\u5ffd\u7565\u504f\u7f6e\u9879)\u3002<\/li>\n<\/ul>\n<p>\u56e0\u6b64\uff0c\u65e0\u8bba\u5355\u5934\u8fd8\u662f\u591a\u5934\uff0c\u81ea\u6ce8\u610f\u529b\u5c42\u7684\u53c2\u6570\u91cf\u90fd\u53ef\u4ee5\u8fd1\u4f3c\u4e3a\u00a04h\u00b2\u3002<\/p>\n<h3>2. \u524d\u9988\u795e\u7ecf\u7f51\u7edc\u5c42 (MLP)<\/h3>\n<p>MLP \u5c42\u7531\u4e24\u4e2a\u7ebf\u6027\u5c42\u7ec4\u6210\u3002\u7b2c\u4e00\u4e2a\u7ebf\u6027\u5c42\u5c06\u9690\u85cf\u5c42\u7ef4\u5ea6 h \u6269\u5c55\u5230 4h\uff0c\u7b2c\u4e8c\u4e2a\u7ebf\u6027\u5c42\u518d\u5c06\u7ef4\u5ea6\u4ece 4h \u7f29\u51cf\u56de h\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/eafcfcd93e22394.png\" alt=\"alt text\" \/><\/p>\n<ul>\n<li>\u7b2c\u4e00\u4e2a\u7ebf\u6027\u5c42\u7684\u6743\u91cd\u77e9\u9635\u5f62\u72b6\u4e3a [h, 4h]\uff0c\u53c2\u6570\u91cf\u4e3a 4h\u00b2\u3002<\/li>\n<li>\u7b2c\u4e8c\u4e2a\u7ebf\u6027\u5c42\u7684\u6743\u91cd\u77e9\u9635\u5f62\u72b6\u4e3a [4h, h]\uff0c\u53c2\u6570\u91cf\u540c\u6837\u4e3a 4h\u00b2\u3002<\/li>\n<\/ul>\n<p>\u56e0\u6b64\uff0cMLP \u5c42\u7684\u603b\u53c2\u6570\u91cf\u4e3a\u00a08h\u00b2\u00a0(\u5ffd\u7565\u504f\u7f6e\u9879)\u3002<\/p>\n<h3>3. \u5c42\u5f52\u4e00\u5316 (Layer Normalization)<\/h3>\n<p>\u5728\u6bcf\u4e2a Self-Attention \u5c42\u548c MLP \u5c42\u4e4b\u540e\uff0c\u4ee5\u53ca Transformer \u6700\u540e\u4e00\u5c42\u8f93\u51fa\u540e\uff0c\u901a\u5e38\u90fd\u4f1a\u6709\u4e00\u4e2a\u5c42\u5f52\u4e00\u5316 (Layer Normalization) \u64cd\u4f5c\u3002\u6bcf\u4e2a Layer Normalization \u5c42\u5305\u542b\u4e24\u4e2a\u53ef\u8bad\u7ec3\u53c2\u6570\uff1a<\/p>\n<ul>\n<li>\u7f29\u653e\u53c2\u6570 (gamma):\u00a0\u5f62\u72b6\u4e3a [h]\u3002<\/li>\n<li>\u5e73\u79fb\u53c2\u6570 (beta):\u00a0\u5f62\u72b6\u4e3a [h]\u3002<\/li>\n<\/ul>\n<p>\u7531\u4e8e\u6bcf\u4e2a Transformer \u5c42\u6709\u4e24\u4e2a Layer Normalization (\u5206\u522b\u5728 Self-Attention \u548c MLP \u4e4b\u540e)\uff0c\u518d\u52a0\u4e0a\u8f93\u51fa\u5c42\u540e\u7684\u4e00\u4e2a, \u6240\u4ee5 L \u5c42 Transformer \u7684 Layer Normalization \u603b\u53c2\u6570\u91cf\u4e3a\u00a0(2L + 1) * 2h\u3002<\/p>\n<h3>4. \u8bcd\u5d4c\u5165\u5c42 (Embedding)<\/h3>\n<p>\u8f93\u5165\u6587\u672c\u9996\u5148\u9700\u8981\u901a\u8fc7\u8bcd\u5d4c\u5165\u5c42\u8f6c\u6362\u4e3a\u8bcd\u5411\u91cf\u3002\u5047\u8bbe\u8bcd\u8868\u5927\u5c0f\u4e3a V\uff0c\u8bcd\u5411\u91cf\u7ef4\u5ea6\u4e3a h\uff0c\u90a3\u4e48\u8bcd\u5d4c\u5165\u5c42\u7684\u53c2\u6570\u91cf\u4e3a\u00a0Vh\u3002<\/p>\n<h3>5. \u8f93\u51fa\u5c42<\/h3>\n<p>\u8f93\u51fa\u5c42\u7684\u6743\u91cd\u77e9\u9635\u901a\u5e38\u4e0e\u8bcd\u5d4c\u5165\u5c42\u5171\u4eab\u6743\u91cd (Weight Tying)\uff0c\u4ee5\u51cf\u5c11\u53c2\u6570\u91cf\u5e76\u53ef\u80fd\u63d0\u5347\u6027\u80fd\u3002\u56e0\u6b64\uff0c\u5982\u679c\u91c7\u7528\u6743\u91cd\u5171\u4eab\uff0c\u8f93\u51fa\u5c42\u901a\u5e38\u4e0d\u5f15\u5165\u989d\u5916\u7684\u53c2\u6570\u91cf\u3002\u5982\u679c\u4e0d\u5171\u4eab\uff0c\u5219\u53c2\u6570\u91cf\u4e3a\u00a0Vh\u3002<\/p>\n<h3>6. \u4f4d\u7f6e\u7f16\u7801 (Positional Encoding)<\/h3>\n<p><strong>\u4f4d\u7f6e\u7f16\u7801\u7528\u4e8e\u4e3a\u6a21\u578b\u63d0\u4f9b\u8f93\u5165\u5e8f\u5217\u4e2d\u5355\u8bcd\u7684\u4f4d\u7f6e\u4fe1\u606f\u3002<\/strong><\/p>\n<ul>\n<li><strong>\u53ef\u8bad\u7ec3\u7684\u4f4d\u7f6e\u7f16\u7801:<\/strong>\u00a0\u5982\u679c\u4f7f\u7528\u53ef\u8bad\u7ec3\u7684\u4f4d\u7f6e\u7f16\u7801\uff0c\u53c2\u6570\u91cf\u4e3a N * h\uff0c\u5176\u4e2d N \u662f\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u3002\u4f8b\u5982\uff0cChatGPT \u7684\u6700\u5927\u5e8f\u5217\u957f\u5ea6\u4e3a 4k\u3002<\/li>\n<li><strong>\u76f8\u5bf9\u4f4d\u7f6e\u7f16\u7801 (\u5982 RoPE \u6216 ALiBi):<\/strong>\u00a0\u8fd9\u4e9b\u65b9\u6cd5\u4e0d\u5f15\u5165\u53ef\u8bad\u7ec3\u7684\u53c2\u6570\u3002<\/li>\n<\/ul>\n<p><strong>\u7531\u4e8e\u4f4d\u7f6e\u7f16\u7801\u7684\u53c2\u6570\u91cf\u76f8\u5bf9\u8f83\u5c11\uff0c\u901a\u5e38\u5728\u8ba1\u7b97\u603b\u53c2\u6570\u91cf\u65f6\u53ef\u4ee5\u5ffd\u7565\u4e0d\u8ba1\u3002<\/strong><\/p>\n<h3>7. \u603b\u53c2\u6570\u91cf\u8ba1\u7b97<\/h3>\n<p><strong>\u7efc\u4e0a\u6240\u8ff0\uff0c\u4e00\u4e2a L \u5c42\u7684 Transformer \u6a21\u578b\u7684\u603b\u53c2\u6570\u91cf\u4e3a\uff1a<\/strong><\/p>\n<p><strong>\u603b\u53c2\u6570\u91cf = L * (Self-Attention \u53c2\u6570 + MLP \u53c2\u6570 + LayerNorm \u53c2\u6570 * 2) + Embedding \u53c2\u6570 + \u8f93\u51fa\u5c42\u53c2\u6570 + LayerNorm \u53c2\u6570(\u8f93\u51fa\u5c42\u540e)<\/strong><br \/>\n\u603b\u53c2\u6570\u91cf \u2248 L * (4h\u00b2 + 8h\u00b2 + 4h) + Vh + (\u53ef\u9009\u7684 Vh) + 2h<br \/>\n\u603b\u53c2\u6570\u91cf \u2248 L * (12h\u00b2 + 4h) + Vh + 2h (\u5047\u8bbe\u8f93\u51fa\u5c42\u4e0e\u8bcd\u5d4c\u5165\u5c42\u5171\u4eab\u6743\u91cd)<\/p>\n<p><strong>\u5f53\u9690\u85cf\u7ef4\u5ea6 h \u8f83\u5927\u65f6\uff0c\u4e00\u6b21\u9879 4h \u548c 2h \u53ef\u4ee5\u5ffd\u7565\u4e0d\u8ba1\uff0c\u6a21\u578b\u53c2\u6570\u91cf\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8fd1\u4f3c\u4e3a\uff1a<\/strong><\/p>\n<p><strong>\u603b\u53c2\u6570\u91cf \u2248 12Lh\u00b2 + Vh<\/strong><\/p>\n<h3>8. LLaMA \u53c2\u6570\u91cf\u4f30\u7b97<\/h3>\n<p><strong>\u4e0b\u8868\u5c55\u793a\u4e86 LLaMA \u4e0d\u540c\u7248\u672c\u7684\u4e00\u4e9b\u5173\u952e\u53c2\u6570\u4ee5\u53ca\u5176\u53c2\u6570\u91cf\u7684\u4f30\u7b97\uff1a<\/strong><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/0ed435e92cb9cde.png\" alt=\"alt text\" \/><\/p>\n<p>**\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u4e0a\u8ff0\u516c\u5f0f\u8fdb\u884c\u9a8c\u8bc1\u3002\u4ee5 LLaMA-7B \u4e3a\u4f8b\uff0c\u6839\u636e\u8868\u683c\uff0cL=32, h=4096, V=32000\u3002**<\/p>\n<p>\u4f30\u7b97\u53c2\u6570\u91cf \u2248 12 * 32 * 4096\u00b2 + 32000 * 4096 \u2248 6.55B<\/p>\n<p>\u8fd9\u4e2a\u4f30\u7b97\u503c\u4e0e 6.7B \u8f83\u4e3a\u63a5\u8fd1\u3002\u5176\u4ed6\u7684\u51e0\u4e2a\u7248\u672c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\u8fdb\u884c\u4f30\u7b97\u548c\u9a8c\u8bc1\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u4e8c\u3001\u5927\u6a21\u578b\u53c2\u6570\u91cf\u4e0e\u6a21\u578b\u5927\u5c0f\u7684\u8f6c\u6362<\/h2>\n<p>\u4e86\u89e3\u4e86\u53c2\u6570\u91cf\u7684\u8ba1\u7b97\u65b9\u6cd5\uff0c\u63a5\u4e0b\u6765\u6211\u4eec\u770b\u770b\u53c2\u6570\u91cf\u548c\u6a21\u578b\u5927\u5c0f\u662f\u5982\u4f55\u8f6c\u6362\u7684\u3002<\/p>\n<p><strong>\u6211\u4eec\u4ecd\u4ee5 LLaMA-7B \u4e3a\u4f8b\uff0c\u5176\u53c2\u6570\u91cf\u7ea6\u4e3a 70 \u4ebf\u3002<\/strong><\/p>\n<ul>\n<li><strong>\u7406\u8bba\u8ba1\u7b97:<\/strong>\u00a0\u5982\u679c\u6bcf\u4e2a\u53c2\u6570\u90fd\u4ee5 FP32 (32 \u4f4d\u6d6e\u70b9\u6570\uff0c\u5360\u7528 4 \u4e2a\u5b57\u8282) \u683c\u5f0f\u5b58\u50a8\uff0c\u90a3\u4e48 LLaMA-7B \u7684\u7406\u8bba\u5927\u5c0f\u4e3a\uff1a7B * 4 bytes = 28GB\u3002<\/li>\n<li><strong>\u5b9e\u9645\u5b58\u50a8:<\/strong>\u00a0\u4e3a\u4e86\u8282\u7701\u5b58\u50a8\u7a7a\u95f4\u548c\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\uff0c\u6a21\u578b\u6743\u91cd\u901a\u5e38\u4ee5\u8f83\u4f4e\u7cbe\u5ea6\u7684\u683c\u5f0f\u5b58\u50a8\uff0c\u5982 FP16 (16 \u4f4d\u6d6e\u70b9\u6570\uff0c\u5360\u7528 2 \u4e2a\u5b57\u8282) \u6216 BF16\u3002\u4f7f\u7528 FP16 \u5b58\u50a8\u65f6\uff0cLLaMA-7B \u7684\u5927\u5c0f\u7406\u8bba\u4e0a\u4e3a\uff1a7B * 2 bytes = 14GB\u3002<\/li>\n<li><strong>\u5176\u4ed6\u56e0\u7d20:<\/strong>\u00a0\u9664\u4e86\u6743\u91cd\u53c2\u6570\u5916\uff0c\u6a21\u578b\u6587\u4ef6\u8fd8\u53ef\u80fd\u5305\u542b\u4f18\u5316\u5668\u72b6\u6001 (\u5982 Adam \u4f18\u5316\u5668\u7684\u52a8\u91cf\u548c\u65b9\u5dee)\u3001\u8bcd\u8868\u3001\u6a21\u578b\u914d\u7f6e\u7b49\u4fe1\u606f\uff0c\u8fd9\u4e9b\u90fd\u4f1a\u5360\u7528\u989d\u5916\u7684\u5b58\u50a8\u7a7a\u95f4\u3002\u6b64\u5916\uff0c\u4e00\u4e9b\u53c2\u6570 (\u5982 Layer Normalization \u7684 gamma \u548c beta) \u53ef\u80fd\u4f1a\u4ee5 FP32 \u683c\u5f0f\u5b58\u50a8\u3002<\/li>\n<\/ul>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/01\/f2f08eef3caf62f.jpeg\" alt=\"alt text\" \/><\/p>\n<p>\u4e0a\u56fe\u5c55\u793a\u4e86 LLaMA-7B \u6a21\u578b\u6587\u4ef6\u7684\u5b9e\u9645\u5927\u5c0f\u3002\u53ef\u4ee5\u770b\u5230\uff0c\u5404\u4e2a\u90e8\u5206\u7684\u5927\u5c0f\u603b\u548c\u7ea6\u4e3a 13.5GB\uff0c\u4e0e\u6211\u4eec\u4f30\u7b97\u7684 14GB \u8f83\u4e3a\u63a5\u8fd1\u3002\u5176\u4e2d\u7684\u5fae\u5c0f\u5dee\u5f02\u53ef\u80fd\u662f\u7531\u820d\u5165\u8bef\u5dee\u3001\u504f\u7f6e\u53c2\u6570\u6216\u8005\u90e8\u5206\u53c2\u6570\u4ecd\u7136\u4f7f\u7528 FP32 \u5b58\u50a8\u7b49\u539f\u56e0\u9020\u6210\u7684\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6700\u8fd1\uff0c\u8bb8\u591a\u4ece\u4e8b\u5927\u6a21\u578b\u8bad\u7ec3\u548c\u63a8\u7406\u7684\u670b\u53cb\u90fd\u5728\u8ba8\u8bba\u6a21\u578b\u53c2\u6570\u91cf\u548c\u6a21\u578b\u5927\u5c0f\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u8457\u540d\u7684\u7f8a\u9a7c\u7cfb\u5217 LLaMA \u5927\u6a21\u578b\uff0c\u5c31\u5305\u542b\u4e86\u00a0LLaMA-7B\u3001LLaMA-13B\u3001LLaMA-33B\u00a0\u548c\u00a0LLaMA-65B\u00a0\u56db\u79cd\u4e0d\u540c\u53c2\u6570\u89c4\u6a21\u7684\u7248\u672c\u3002 \u8fd9\u91cc&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[],"class_list":["post-19575","post","type-post","status-publish","format-standard","hentry","category-knowledge"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/19575","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=19575"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/19575\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=19575"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=19575"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=19575"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}