{"id":250607,"date":"2026-07-08T17:28:34","date_gmt":"2026-07-08T14:28:34","guid":{"rendered":"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/"},"modified":"2026-07-08T17:28:34","modified_gmt":"2026-07-08T14:28:34","slug":"how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu","status":"publish","type":"post","link":"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/","title":{"rendered":"How to Build and Fine-Tune a Small Language Model PDF &#8211; Paul Liu"},"content":{"rendered":"<div style=\"text-align:center; margin-bottom:30px;\">\n    <img decoding=\"async\" src=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_How_to_Build_and_Fine-Tune_a_Small_Language_Model_-_Paul_Liu-1kitap1.com_.jpg\" alt=\"How to Build and Fine-Tune a Small Language Model PDF Download\" style=\"max-width:300px; height:auto; border-radius:10px; box-shadow:0 10px 30px rgba(0,0,0,0.1);\" \/>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#How_to_Build_and_Fine-Tune_a_Small_Language_Model_Book_Summary_Review\" >How to Build and Fine-Tune a Small Language Model Book Summary &#038; Review<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Quick_Summary\" >Quick Summary<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Book_Topic_and_Premise\" >Book Topic and Premise<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Detailed_Plot_Summary\" >Detailed Plot &#038; Summary<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Critical_Review_and_Analysis\" >Critical Review and Analysis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Main_Themes_Motifs\" >Main Themes &#038; Motifs<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Who_Should_Read_This_Book\" >Who Should Read This Book?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Why_You_Should_Read_It\" >Why You Should Read It<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Key_Takeaways_What_You_Will_Learn\" >Key Takeaways &#038; What You Will Learn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Technical_Bibliographic_Details\" >Technical &#038; Bibliographic Details<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#Frequently_Asked_Questions_FAQ\" >Frequently Asked Questions (FAQ)<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/1kitap1.com\/en\/how-to-build-and-fine-tune-a-small-language-model-pdf-paul-liu\/#PDF_Download_Section\" >PDF Download Section<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Build_and_Fine-Tune_a_Small_Language_Model_Book_Summary_Review\"><\/span>How to Build and Fine-Tune a Small Language Model Book Summary &#038; Review<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Quick_Summary\"><\/span>Quick Summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><em>An essential, highly technical engineering manual providing step-by-step code and mathematical frameworks to construct and optimize specialized local language models.<\/em><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Book_Topic_and_Premise\"><\/span>Book Topic and Premise<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>As cloud-compute overhead grows and data privacy regulations tighten, how can software engineers construct high-performance, localized intelligence networks that operate entirely on consumer-grade local hardware? In How to Build and Fine-Tune a Small Language Model, AI research engineer Paul Liu presents a rigorous, code-first technical manual that systematically breaks down the architectural engineering required to build custom edge-compute Small Language Models (SLMs).<\/p>\n<p>The textbook bypasses high-level conceptual marketing to dive directly into the deep linear algebra and programming architecture of neural networks. Liu guides his audience through the initialization of raw transformer blocks using PyTorch, the development of customized byte-pair tokenization pipelines, and the structural application of parameter-efficient optimization methods like LoRA and QLoRA. Referencing these complex code scripts via the PDF version is highly efficient, allowing machine learning developers to copy exact syntax blocks, tensor dimension transformations, and matrix equations directly into their local execution environments.<\/p>\n<p>$$ <br \/>\\text{Attention}(Q, K, V) = \\text{softmax}\\left(\\frac{QK^T}{\\sqrt{d_k}}\\right)V <br \/>$$<\/p>\n<p>Beyond basic model pre-training, the text focuses heavily on the mathematics of quantization, demonstrating how down-scaling weights from FP16 to INT4 can optimize memory limits without crashing inference precision. Through real-world project builds and hardware bench analysis, Liu addresses training data filtering, hyperparameter tuning loops, and direct preference optimization (DPO). It serves as a definitive, highly accurate technical standard that empowers independent developers to construct proprietary, secure, and hyper-focused AI systems from the ground up.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Detailed_Plot_Summary\"><\/span>Detailed Plot &#038; Summary<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>AI architect Paul Liu delivers a comprehensive technical guide focused on the development of edge-compute Small Language Models (SLMs). Moving past massive corporate cloud architectures, the textbook explores custom tokenization pipelines, transformer layer construction, and parameter-efficient optimization techniques like LoRA, QLoRA, and direct preference optimization (DPO), teaching developers how to deploy high-performance localized AI on commodity hardware.<\/p>\n<div style=\"background-color:#fff3cd; padding:15px; border-left:4px solid #ffc107; margin:20px 0; border-radius:4px;\"><strong>\u270d\ufe0f Editor&#8217;s Note:<\/strong> A masterful, timely technical asset that effectively democratizes AI development, moving machine learning capability from mega-cloud data centers to individual edge devices.<\/div>\n<h3><span class=\"ez-toc-section\" id=\"Critical_Review_and_Analysis\"><\/span>Critical Review and Analysis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Liu provides an exceptionally clear, code-first approach that avoids abstract hand-waving to deliver functional, reproducible PyTorch code blocks. The chapters on dataset curation and formatting are invaluable. However, the text assumes a very high baseline fluency in Python, linear algebra, and basic neural network operations, making it highly demanding for amateur programmers.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Main_Themes_Motifs\"><\/span>Main Themes &#038; Motifs<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li>Edge Compute Efficiency<\/li>\n<li>Parameter-Efficient Optimization<\/li>\n<li>Quantization Mathematics<\/li>\n<li>Data Curation Mechanics<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Who_Should_Read_This_Book\"><\/span>Who Should Read This Book?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Machine learning engineers, data scientists, backend developers building localized text-processing pipelines, and computer science students specializing in natural language processing.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Why_You_Should_Read_It\"><\/span>Why You Should Read It<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>It rejects superficial interface tutorials to provide real, low-level architectural control over neural network training, optimization, and local hardware optimization.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Key_Takeaways_What_You_Will_Learn\"><\/span>Key Takeaways &#038; What You Will Learn<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>How to write custom transformer attention heads in PyTorch, methods for fine-tuning models on consumer GPUs using LoRA, and strategies for tokenizing specialized domain data.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Technical_Bibliographic_Details\"><\/span>Technical &#038; Bibliographic Details<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<table style=\"width:100%; border-collapse: collapse; margin-bottom: 20px;\">\n<tr>\n<td style=\"width:30%;\"><strong>\ud83d\udcd6 Title:<\/strong><\/td>\n<td>How to Build and Fine-Tune a Small Language Model<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udd0d Original Title:<\/strong><\/td>\n<td>How to Build and Fine-Tune a Small Language Model<\/td>\n<\/tr>\n<tr>\n<td><strong>\u270d\ufe0f Author:<\/strong><\/td>\n<td>Paul Liu<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udde3\ufe0f Translator:<\/strong><\/td>\n<td>N\/A<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83c\udfe2 Publisher:<\/strong><\/td>\n<td>TechForge Media<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc5 Publication Year:<\/strong><\/td>\n<td>2025<\/td>\n<\/tr>\n<tr>\n<td><strong>\u23f3 First Published:<\/strong><\/td>\n<td>2025<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udd22 ISBN:<\/strong><\/td>\n<td>978-1649021456<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc4 Total Pages:<\/strong><\/td>\n<td>352<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcc1 Category:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/category\/computer-science\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Computer Science<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/artificial-intelligence\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Artificial Intelligence<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/data-science\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">Data Science<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/category\/english\/\" style=\"color:#0088cc; text-decoration:underline; font-weight:500;\">English<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83c\udf0d Language:<\/strong><\/td>\n<td>English<\/td>\n<\/tr>\n<tr>\n<td><strong>\u2b50 Goodreads Rating:<\/strong><\/td>\n<td>4.65 \/ 5.0 (184 votes)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u23f1\ufe0f Reading Time:<\/strong><\/td>\n<td>7 hours<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcca Difficulty Level:<\/strong><\/td>\n<td>Hard<\/td>\n<\/tr>\n<tr>\n<td><strong>\u26d3\ufe0f Book Series:<\/strong><\/td>\n<td>Advanced Machine Learning Series (Vol. 3)<\/td>\n<\/tr>\n<tr>\n<td><strong>\ud83d\udcda Similar Books:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/?s=Natural%20Language%20Processing%20with%20Transformers%20by%20Lewis%20Tunstall\" style=\"color:#0088cc; text-decoration:none;\">Natural Language Processing with Transformers by Lewis Tunstall<\/a>, <a href=\"https:\/\/1kitap1.com\/en\/?s=Deep%20Learning%20by%20Ian%20Goodfellow\" style=\"color:#0088cc; text-decoration:none;\">Deep Learning by Ian Goodfellow<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>\u270d\ufe0f Other Books by Author:<\/strong><\/td>\n<td><a href=\"https:\/\/1kitap1.com\/en\/?s=Edge%20AI%20Pipelines\" style=\"color:#0088cc; text-decoration:none;\">Edge AI Pipelines<\/a><\/td>\n<\/tr>\n<\/table>\n<h3><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions_FAQ\"><\/span>Frequently Asked Questions (FAQ)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 What level of programming expertise does this textbook require?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">The text requires an advanced baseline understanding of Python, object-oriented programming, and familiarity with matrix multiplication and basic neural network design concepts.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Does the author provide functional code for fine-tuning?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, every chapter includes fully realized PyTorch and Hugging Face code snippets tracking data ingestion, attention calculations, and hyperparameter execution loops completely.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Can the models built from this book run on a standard laptop?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Absolutely. The central focus of Paul Liu\u2019s methodology is optimizing models under 3 billion parameters to run efficiently on consumer laptop GPUs or CPUs via quantization.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Are the mathematical equations rendered cleanly in the PDF format?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">The PDF version beautifully renders all complex LaTeX matrix transformations, backpropagation derivatives, and attention mechanism formulas with flawless technical accuracy.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 Does this manual cover hardware setup and CUDA driver configuration?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">Yes, an extensive technical appendix provides step-by-step instructions for optimizing Linux environments, installing CUDA toolkits, and managing memory allocation limits.<\/p>\n<\/div>\n<div style=\"margin-bottom:15px; padding: 10px; background: #fafafa; border-radius: 4px;\"><strong>\u2753 What optimization techniques are highlighted for instruction tuning?<\/strong><\/p>\n<p style=\"margin-top:5px; margin-bottom:0;\">The book details the practical deployment of Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Direct Preference Optimization (DPO) to align raw foundational models.<\/p>\n<\/div>\n<div style=\"margin: 20px 0; padding: 15px; background-color: #f8f9fa; border-left: 4px solid #0088cc; border-radius: 4px;\">\n    <strong>\ud83d\udcda Recommended Category:<\/strong> Explore more in our <a href=\"https:\/\/1kitap1.com\/en\/category\/computer-science\/\" style=\"color:#0088cc; font-weight:bold; text-decoration:none;\">Computer Science<\/a> hub.\n<\/div>\n<h4><span class=\"ez-toc-section\" id=\"PDF_Download_Section\"><\/span>PDF Download Section<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<div class=\"wp-block-buttons is-content-justification-center\" style=\"margin: 20px 0 40px 0;\">\n<div class=\"wp-block-button is-style-fill\">\n        <a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/How_to_Build_and_Fine-Tune_a_Small_Language_Model_-_Paul_Liu-1kitap1.com_.pdf\" target=\"_blank\" rel=\"noopener\" style=\"padding: 20px 40px; font-size: 20px; font-weight: bold; color: #ffffff; background-color: #0088cc; border-radius: 5px; text-decoration: none; display: inline-block;\"><br \/>\n            \ud83d\udce5 Download How to Build and Fine-Tune a Small Language Model PDF (8.4 MB)<br \/>\n        <\/a>\n    <\/div>\n<\/div>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Book\", \"name\": \"How to Build and Fine-Tune a Small Language Model\", \"author\": {\"@type\": \"Person\", \"name\": \"Paul Liu\"}, \"description\": \"How to Build and Fine-Tune a Small Language Model by Paul Liu PDF delivers an expert, code-heavy technical guide to engineering efficient local AI architectures.\", \"image\": \"https:\/\/1kitap1.com\/en\/wp-content\/uploads\/2026\/07\/temp_How_to_Build_and_Fine-Tune_a_Small_Language_Model_-_Paul_Liu-1kitap1.com_.jpg\", \"genre\": [\"Computer Science\", \"Artificial Intelligence\", \"Data Science\", \"Programming\", \"English\"], \"inLanguage\": \"English\", \"isbn\": \"978-1649021456\", \"numberOfPages\": 352, \"publisher\": {\"@type\": \"Organization\", \"name\": \"TechForge Media\"}, \"aggregateRating\": {\"@type\": \"AggregateRating\", \"ratingValue\": \"4.65\", \"bestRating\": \"5\", \"worstRating\": \"1\", \"ratingCount\": \"184\"}}<\/script><\/p>\n<p><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What level of programming expertise does this textbook require?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The text requires an advanced baseline understanding of Python, object-oriented programming, and familiarity with matrix multiplication and basic neural network design concepts.\"}}, {\"@type\": \"Question\", \"name\": \"Does the author provide functional code for fine-tuning?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, every chapter includes fully realized PyTorch and Hugging Face code snippets tracking data ingestion, attention calculations, and hyperparameter execution loops completely.\"}}, {\"@type\": \"Question\", \"name\": \"Can the models built from this book run on a standard laptop?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Absolutely. 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Book Topic and Premise As cloud-compute overhead grows and data privacy regulations tighten, how can software engineers construct high-performance, localized [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":250606,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[889,846,880,8],"tags":[54171],"class_list":["post-250607","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-computer-science","category-data-science","category-english","tag-paul-liu"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/250607","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/comments?post=250607"}],"version-history":[{"count":0,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/posts\/250607\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media\/250606"}],"wp:attachment":[{"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/media?parent=250607"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/categories?post=250607"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1kitap1.com\/en\/wp-json\/wp\/v2\/tags?post=250607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}