{"id":26471,"date":"2025-02-23T13:00:35","date_gmt":"2025-02-23T05:00:35","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=26471"},"modified":"2025-02-23T13:00:35","modified_gmt":"2025-02-23T05:00:35","slug":"deepdive-llama3-from-scratch","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/deepdive-llama3-from-scratch\/","title":{"rendered":"Deepdive Llama3 From Scratch\uff1a\u6559\u4f60\u4ece\u96f6\u5f00\u59cb\u5b9e\u73b0Llama3\u6a21\u578b"},"content":{"rendered":"<p>Deepdive Llama3 From Scratch \u662f\u4e00\u4e2a\u6258\u7ba1\u5728 GitHub \u4e0a\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u4e13\u6ce8\u4e8e\u4e00\u6b65\u6b65\u89e3\u6790\u548c\u5b9e\u73b0 Llama3 \u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u3002\u5b83\u57fa\u4e8e naklecha\/llama3-from-scratch \u9879\u76ee\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u65e8\u5728\u5e2e\u52a9\u5f00\u53d1\u8005\u4e0e\u5b66\u4e60\u8005\u6df1\u5165\u7406\u89e3 Llama3 \u7684\u6838\u5fc3\u6982\u5ff5\u4e0e\u63a8\u7406\u7ec6\u8282\u3002\u9879\u76ee\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u4ee3\u7801\u6ce8\u91ca\u3001\u7ed3\u6784\u5316\u7684\u5b66\u4e60\u8def\u5f84\u4ee5\u53ca\u77e9\u9635\u7ef4\u5ea6\u7684\u8ddf\u8e2a\u8bf4\u660e\uff0c\u8ba9\u521d\u5b66\u8005\u4e5f\u80fd\u8f7b\u677e\u4e0a\u624b\u3002\u901a\u8fc7\u6e05\u6670\u7684\u6b65\u9aa4\u62c6\u89e3\u4e0e\u5b9e\u73b0\u4ee3\u7801\uff0c\u7528\u6237\u53ef\u4ee5\u638c\u63e1\u4ece\u6a21\u578b\u63a8\u7406\u5230\u590d\u6742\u8ba1\u7b97\u7684\u5b8c\u6574\u6d41\u7a0b\uff0c\u662f\u5b66\u4e60\u5927\u8bed\u8a00\u6a21\u578b\u7684\u4f18\u8d28\u8d44\u6e90\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-26472\" title=\"Deepdive Llama3 From Scratch\uff1a\u6559\u4f60\u4ece\u96f6\u5f00\u59cb\u5b9e\u73b0Llama3\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/dc750c85d2fa549.jpg\" alt=\"Deepdive Llama3 From Scratch\uff1a\u6559\u4f60\u4ece\u96f6\u5f00\u59cb\u5b9e\u73b0Llama3\u6a21\u578b-1\" width=\"1024\" height=\"576\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/dc750c85d2fa549.jpg 1024w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/dc750c85d2fa549-768x432.jpg 768w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u9010\u6b65\u63a8\u7406\u5b9e\u73b0<\/strong>\uff1a\u63d0\u4f9b Llama3 \u6a21\u578b\u63a8\u7406\u7684\u6bcf\u4e00\u6b65\u62c6\u89e3\uff0c\u5305\u542b\u6570\u5b66\u63a8\u5bfc\u4e0e\u4ee3\u7801\u5b9e\u73b0\u3002<\/li>\n<li><strong>\u8be6\u7ec6\u4ee3\u7801\u6ce8\u91ca<\/strong>\uff1a\u4e3a\u6bcf\u6bb5\u4ee3\u7801\u6dfb\u52a0\u6df1\u5165\u6ce8\u89e3\uff0c\u89e3\u91ca\u5176\u529f\u80fd\u4e0e\u4f5c\u7528\uff0c\u5e2e\u52a9\u7406\u89e3\u5e95\u5c42\u903b\u8f91\u3002<\/li>\n<li><strong>\u7ef4\u5ea6\u8ddf\u8e2a<\/strong>\uff1a\u6807\u6ce8\u8ba1\u7b97\u4e2d\u77e9\u9635\u7ef4\u5ea6\u7684\u53d8\u5316\uff0c\u6e05\u6670\u5c55\u793a\u6570\u636e\u6d41\u8f6c\u8fc7\u7a0b\u3002<\/li>\n<li><strong>\u4f18\u5316\u5b66\u4e60\u7ed3\u6784<\/strong>\uff1a\u91cd\u65b0\u7ec4\u7ec7\u5185\u5bb9\u987a\u5e8f\u4e0e\u76ee\u5f55\uff0c\u4fbf\u4e8e\u5faa\u5e8f\u6e10\u8fdb\u5b66\u4e60\u3002<\/li>\n<li><strong>\u5206\u7ec4\u6ce8\u610f\u529b\u673a\u5236\u89e3\u6790<\/strong>\uff1a\u6df1\u5165\u8bb2\u89e3 Llama3 \u7684\u5206\u7ec4\u67e5\u8be2\u6ce8\u610f\u529b\u673a\u5236\u53ca\u5176\u5b9e\u73b0\u65b9\u5f0f\u3002<\/li>\n<li><strong>SwiGLU \u524d\u9988\u7f51\u7edc\u8bf4\u660e<\/strong>\uff1a\u5256\u6790 SwiGLU \u7f51\u7edc\u7ed3\u6784\u53ca\u5176\u5728\u6a21\u578b\u4e2d\u7684\u4f5c\u7528\u3002<\/li>\n<li><strong>\u591a\u8bcd\u751f\u6210\u652f\u6301<\/strong>\uff1a\u5c55\u793a\u5982\u4f55\u901a\u8fc7\u5faa\u73af\u8c03\u7528\u751f\u6210\u591a\u8bcd\u8f93\u51fa\uff0c\u5305\u542b KV-Cache \u4f18\u5316\u539f\u7406\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5982\u4f55\u5b89\u88c5\u4e0e\u4f7f\u7528<\/h3>\n<p>Deepdive Llama3 From Scratch \u662f\u4e00\u4e2a GitHub \u5f00\u6e90\u9879\u76ee\uff0c\u65e0\u9700\u590d\u6742\u5b89\u88c5\u6d41\u7a0b\u5373\u53ef\u4f7f\u7528\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u64cd\u4f5c\u6b65\u9aa4\uff0c\u8ba9\u4f60\u5feb\u901f\u4e0a\u624b\u5e76\u63a2\u7d22\u9879\u76ee\u529f\u80fd\u3002<\/p>\n<h4>\u83b7\u53d6\u9879\u76ee<\/h4>\n<ol>\n<li><strong>\u8bbf\u95ee GitHub \u9875\u9762<\/strong><br \/>\n\u6253\u5f00\u6d4f\u89c8\u5668\uff0c\u8f93\u5165\u7f51\u5740\u00a0<code>https:\/\/github.com\/therealoliver\/Deepdive-llama3-from-scratch<\/code>\uff0c\u8fdb\u5165\u9879\u76ee\u4e3b\u9875\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u4ee3\u7801<\/strong>\n<ul>\n<li>\u70b9\u51fb\u9875\u9762\u53f3\u4fa7\u7eff\u8272\u7684\u00a0<strong>Code<\/strong>\u00a0\u6309\u94ae\u3002<\/li>\n<li>\u9009\u62e9\u00a0<strong>Download ZIP<\/strong>\u00a0\u4e0b\u8f7d\u538b\u7f29\u5305\uff0c\u6216\u8005\u4f7f\u7528 Git \u547d\u4ee4\u514b\u9686\u9879\u76ee\uff1a\n<pre><code>git clone https:\/\/github.com\/therealoliver\/Deepdive-llama3-from-scratch.git\r\n<\/code><\/pre>\n<\/li>\n<li>\u89e3\u538b ZIP \u6587\u4ef6\u6216\u8fdb\u5165\u514b\u9686\u540e\u7684\u9879\u76ee\u6587\u4ef6\u5939\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u73af\u5883\u51c6\u5907<\/strong><br \/>\n\u9879\u76ee\u4f9d\u8d56 Python \u73af\u5883\u548c\u5e38\u89c1\u6df1\u5ea6\u5b66\u4e60\u5e93\uff08\u5982 PyTorch\uff09\u3002\u63a8\u8350\u4ee5\u4e0b\u6b65\u9aa4\u914d\u7f6e\uff1a<\/p>\n<ul>\n<li>\u786e\u4fdd\u5b89\u88c5 Python 3.8 \u6216\u4ee5\u4e0a\u7248\u672c\u3002<\/li>\n<li>\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u4f9d\u8d56\uff1a\n<pre><code>pip install torch numpy\r\n<\/code><\/pre>\n<\/li>\n<li>\u5982\u679c\u9700\u8981\u8fd0\u884c\u5b8c\u6574\u6a21\u578b\u63a8\u7406\uff0c\u53ef\u80fd\u9700\u8981\u989d\u5916\u5b89\u88c5\u00a0<code>transformers<\/code>\u00a0\u6216\u5176\u4ed6\u5e93\uff0c\u89c6\u5177\u4f53\u4ee3\u7801\u9700\u6c42\u800c\u5b9a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h4>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h4>\n<h5>1. \u9010\u6b65\u63a8\u7406\u5b9e\u73b0<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u8fd9\u662f\u9879\u76ee\u7684\u6838\u5fc3\uff0c\u63d0\u4f9b Llama3 \u63a8\u7406\u7684\u6bcf\u4e00\u6b65\u62c6\u89e3\uff0c\u4ece\u8f93\u5165\u5d4c\u5165\u5230\u8f93\u51fa\u9884\u6d4b\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u6253\u5f00\u9879\u76ee\u6587\u4ef6\u5939\u4e2d\u7684\u4e3b\u6587\u4ef6\uff08\u5982\u00a0<code>llama3_inference.py<\/code>\u00a0\u6216\u7c7b\u4f3c\u540d\u79f0\u6587\u4ef6\uff0c\u5177\u4f53\u4ee5\u9879\u76ee\u5185\u547d\u540d\u4e3a\u4e3b\uff09\u3002<\/li>\n<li>\u9605\u8bfb\u6587\u4ef6\u5f00\u5934\u7684\u8bf4\u660e\uff0c\u4e86\u89e3\u63a8\u7406\u7684\u6574\u4f53\u6d41\u7a0b\u3002<\/li>\n<li>\u9010\u6b65\u8fd0\u884c\u4ee3\u7801\u7247\u6bb5\uff0c\u6bcf\u6bb5\u90fd\u6709\u6ce8\u91ca\u89e3\u91ca\u3002\u4f8b\u5982\uff1a\n<pre><code># Embedding \u8f93\u5165\u5c42\uff0c\u5c06 <a href=\"https:\/\/www.kdjingpai.com\/pt\/tokenization\/\">token<\/a> \u8f6c\u6362\u4e3a\u5411\u91cf\r\ntoken_embeddings = embedding_layer(<a href=\"https:\/\/www.kdjingpai.com\/pt\/tokenization\/\">tokens<\/a>)\r\n<\/code><\/pre>\n<\/li>\n<li>\u901a\u8fc7\u6ce8\u91ca\u548c\u4ee3\u7801\u5bf9\u7167\uff0c\u7406\u89e3\u6bcf\u4e00\u6b65\u7684\u6570\u5b66\u539f\u7406\u548c\u5b9e\u73b0\u903b\u8f91\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u5efa\u8bae\u642d\u914d Jupyter Notebook \u8fd0\u884c\uff0c\u9010\u5757\u6267\u884c\u4ee3\u7801\u5e76\u67e5\u770b\u4e2d\u95f4\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<h5>2. \u8be6\u7ec6\u4ee3\u7801\u6ce8\u91ca<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u6bcf\u6bb5\u4ee3\u7801\u9644\u5e26\u8be6\u7ec6\u6ce8\u89e3\uff0c\u9002\u5408\u521d\u5b66\u8005\u7406\u89e3\u590d\u6742\u6982\u5ff5\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u5728\u4ee3\u7801\u7f16\u8f91\u5668\uff08\u5982 VS Code\uff09\u4e2d\u6253\u5f00\u9879\u76ee\u6587\u4ef6\u3002<\/li>\n<li>\u6d4f\u89c8\u4ee3\u7801\u65f6\uff0c\u6ce8\u610f\u4ee5\u00a0<code>#<\/code>\u00a0\u5f00\u5934\u7684\u6ce8\u91ca\uff0c\u4f8b\u5982\uff1a\n<pre><code># RMS \u5f52\u4e00\u5316\uff0c\u907f\u514d\u6570\u503c\u4e0d\u7a33\u5b9a\uff0ceps \u9632\u6b62\u9664\u96f6\r\nnormalized = rms_norm(embeddings, eps=1e-6)\r\n<\/code><\/pre>\n<\/li>\n<li>\u9605\u8bfb\u6ce8\u91ca\u540e\uff0c\u5c1d\u8bd5\u81ea\u5df1\u4fee\u6539\u53c2\u6570\u5e76\u8fd0\u884c\uff0c\u89c2\u5bdf\u7ed3\u679c\u53d8\u5316\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u5c06\u6ce8\u91ca\u7ffb\u8bd1\u4e3a\u81ea\u5df1\u7684\u8bed\u8a00\u8bb0\u5f55\u4e0b\u6765\uff0c\u52a0\u6df1\u7406\u89e3\u3002<\/li>\n<\/ul>\n<h5>3. \u7ef4\u5ea6\u8ddf\u8e2a<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u6807\u6ce8\u77e9\u9635\u7ef4\u5ea6\u53d8\u5316\uff0c\u5e2e\u52a9\u7528\u6237\u7406\u89e3\u6570\u636e\u5f62\u72b6\u7684\u8f6c\u6362\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u627e\u5230\u6807\u6ce8\u7ef4\u5ea6\u7684\u5730\u65b9\uff0c\u4f8b\u5982\uff1a\n<pre><code># \u8f93\u5165 [17x4096] -&gt; \u8f93\u51fa [17x128]\uff0c\u6bcf token \u4e00\u4e2a\u67e5\u8be2\u5411\u91cf\r\nq_per_token = torch.matmul(token_embeddings, q_layer0_head0.T)\r\n<\/code><\/pre>\n<\/li>\n<li>\u68c0\u67e5\u4ee3\u7801\u8f93\u51fa\u7684\u5f20\u91cf\u5f62\u72b6\uff0c\u9a8c\u8bc1\u4e0e\u6ce8\u91ca\u4e00\u81f4\uff1a\n<pre><code>print(q_per_token.shape)  # \u8f93\u51fa torch.Size([17, 128])\r\n<\/code><\/pre>\n<\/li>\n<li>\u901a\u8fc7\u7ef4\u5ea6\u53d8\u5316\uff0c\u7406\u89e3\u6ce8\u610f\u529b\u673a\u5236\u6216\u524d\u9988\u7f51\u7edc\u7684\u8ba1\u7b97\u8fc7\u7a0b\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u624b\u52a8\u7ed8\u5236\u7ef4\u5ea6\u8f6c\u6362\u56fe\uff08\u5982 4096 -&gt; 128\uff09\uff0c\u76f4\u89c2\u638c\u63e1\u6570\u636e\u6d41\u3002<\/li>\n<\/ul>\n<h5>4. \u5206\u7ec4\u6ce8\u610f\u529b\u673a\u5236\u89e3\u6790<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u6df1\u5165\u8bb2\u89e3 Llama3 \u7684\u5206\u7ec4\u67e5\u8be2\u6ce8\u610f\u529b\uff08Grouped Query Attention, GQA\uff09\uff0c\u6bcf 4 \u4e2a\u67e5\u8be2\u5934\u5171\u4eab\u4e00\u7ec4\u952e\u503c\u5411\u91cf\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u5b9a\u4f4d\u6ce8\u610f\u529b\u673a\u5236\u4ee3\u7801\u6bb5\uff0c\u901a\u5e38\u5728\u00a0<code>attention.py<\/code>\u00a0\u6216\u7c7b\u4f3c\u6587\u4ef6\u4e2d\u3002<\/li>\n<li>\u9605\u8bfb\u76f8\u5173\u6ce8\u91ca\uff0c\u4f8b\u5982\uff1a\n<pre><code># GQA\uff1a\u5c06\u67e5\u8be2\u5934\u5206\u4e3a\u7ec4\uff0c\u5171\u4eab KV\uff0c\u7ef4\u5ea6\u964d\u81f3 [1024, 4096]\r\nkv_weights = model[\"attention.wk.weight\"]\r\n<\/code><\/pre>\n<\/li>\n<li>\u8fd0\u884c\u4ee3\u7801\uff0c\u89c2\u5bdf\u5206\u7ec4\u540e\u5982\u4f55\u51cf\u5c11\u8ba1\u7b97\u91cf\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u5bf9\u6bd4\u4f20\u7edf\u591a\u5934\u6ce8\u610f\u529b\uff0c\u8ba1\u7b97 GQA \u7684\u5185\u5b58\u8282\u7701\u91cf\u3002<\/li>\n<\/ul>\n<h5>5. SwiGLU \u524d\u9988\u7f51\u7edc\u8bf4\u660e<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u89e3\u6790 SwiGLU \u7f51\u7edc\u5982\u4f55\u589e\u52a0\u975e\u7ebf\u6027\uff0c\u63d0\u5347\u6a21\u578b\u8868\u8fbe\u80fd\u529b\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u627e\u5230\u524d\u9988\u7f51\u7edc\u5b9e\u73b0\u4ee3\u7801\uff0c\u4f8b\u5982\uff1a\n<pre><code># SwiGLU\uff1aw1 \u548c w3 \u8ba1\u7b97\u975e\u7ebf\u6027\u7ec4\u5408\uff0cw2 \u8f93\u51fa\r\noutput = torch.matmul(F.silu(w1(x)) * w3(x), w2.T)\r\n<\/code><\/pre>\n<\/li>\n<li>\u9605\u8bfb\u516c\u5f0f\u6ce8\u91ca\uff0c\u7406\u89e3\u5176\u6570\u5b66\u539f\u7406\u3002<\/li>\n<li>\u4fee\u6539\u8f93\u5165\u6570\u636e\uff0c\u8fd0\u884c\u4ee3\u7801\uff0c\u89c2\u5bdf\u8f93\u51fa\u53d8\u5316\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u5c1d\u8bd5\u66ff\u6362\u4e3a ReLU\uff0c\u6bd4\u8f83\u6027\u80fd\u5dee\u5f02\u3002<\/li>\n<\/ul>\n<h5>6. \u591a\u8bcd\u751f\u6210\u652f\u6301<\/h5>\n<ul>\n<li><strong>\u529f\u80fd\u8bf4\u660e<\/strong>\uff1a\u901a\u8fc7\u5faa\u73af\u8c03\u7528\u751f\u6210\u591a\u8bcd\u5e8f\u5217\uff0c\u5e76\u4ecb\u7ecd KV-Cache \u4f18\u5316\u3002<\/li>\n<li><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a\n<ol>\n<li>\u627e\u5230\u751f\u6210\u903b\u8f91\u4ee3\u7801\uff0c\u4f8b\u5982\uff1a\n<pre><code># \u5faa\u73af\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\uff0c\u76f4\u5230\u9047\u5230\u7ed3\u675f\u6807\u8bb0\r\nwhile token != \"&lt;|end_of_text|&gt;\":\r\nnext_token = model.predict(current_seq)\r\ncurrent_seq.append(next_token)\r\n<\/code><\/pre>\n<\/li>\n<li>\u9605\u8bfb KV-Cache \u76f8\u5173\u6ce8\u91ca\uff0c\u7406\u89e3\u7f13\u5b58\u5982\u4f55\u52a0\u901f\u63a8\u7406\u3002<\/li>\n<li>\u8f93\u5165\u77ed\u53e5\uff08\u5982 &#8220;Hello&#8221;\uff09\uff0c\u8fd0\u884c\u751f\u6210\u5b8c\u6574\u53e5\u5b50\u3002<\/li>\n<\/ol>\n<\/li>\n<li><strong>\u4f7f\u7528\u6280\u5de7<\/strong>\uff1a\u8c03\u6574\u00a0<code>max_seq_len<\/code>\u00a0\u53c2\u6570\uff0c\u6d4b\u8bd5\u4e0d\u540c\u957f\u5ea6\u8f93\u51fa\u3002<\/li>\n<\/ul>\n<h4>\u6ce8\u610f\u4e8b\u9879<\/h4>\n<ul>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u8fd0\u884c\u5b8c\u6574\u63a8\u7406\u53ef\u80fd\u9700\u8981 GPU \u652f\u6301\uff0c\u5c0f\u89c4\u6a21\u6d4b\u8bd5\u53ef\u5728 CPU \u4e0a\u8fdb\u884c\u3002<\/li>\n<li><strong>\u5b66\u4e60\u5efa\u8bae<\/strong>\uff1a\u7ed3\u5408 Llama3 \u5b98\u65b9\u8bba\u6587\u9605\u8bfb\uff0c\u6548\u679c\u66f4\u4f73\u3002<\/li>\n<li><strong>\u8c03\u8bd5\u65b9\u6cd5<\/strong>\uff1a\u9047\u5230\u9519\u8bef\u65f6\uff0c\u68c0\u67e5\u4f9d\u8d56\u7248\u672c\u6216\u67e5\u770b GitHub Issues \u9875\u9762\u5bfb\u6c42\u5e2e\u52a9\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u5168\u9762\u638c\u63e1 Deepdive Llama3 From Scratch \u7684\u529f\u80fd\uff0c\u4ece\u57fa\u7840\u63a8\u7406\u5230\u4f18\u5316\u6280\u5de7\u90fd\u80fd\u8f7b\u677e\u4e0a\u624b\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deepdive Llama3 From Scratch \u662f\u4e00\u4e2a\u6258\u7ba1\u5728 GitHub \u4e0a\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u4e13\u6ce8\u4e8e\u4e00\u6b65\u6b65\u89e3\u6790\u548c\u5b9e\u73b0 Llama3 \u6a21\u578b\u7684\u63a8\u7406\u8fc7\u7a0b\u3002\u5b83\u57fa\u4e8e naklecha\/llama3-from-scratch \u9879\u76ee\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u65e8\u5728&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61898,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230],"class_list":["post-26471","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/26471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=26471"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/26471\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/61898"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=26471"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=26471"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=26471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}