{"id":404,"title":"llm-checker ile Do\u011fru LLM'i An\u0131nda Bul","content":"<p class=\"lead\">Her ge&ccedil;en g&uuml;n onlarca yeni LLM piyasaya &ccedil;\u0131k\u0131yor. GPT-4o mu, Claude mu, Llama m\u0131, Gemini mi? Bu soruya cevap bulmak art\u0131k tam bir u\u011fra\u015f haline geldi.&nbsp;<strong>llm-checker<\/strong>, terminal &uuml;zerinden &ccedil;al\u0131\u015fan hafif bir CLI arac\u0131d\u0131r ve sana do\u011fru modeli tavsiye etmek i&ccedil;in tasarlanm\u0131\u015ft\u0131r.<\/p>\n<h2>1. Kurulum: Global Y&uuml;kleme<\/h2>\n<p>\u0130lk ad\u0131m, paketi npm arac\u0131l\u0131\u011f\u0131yla global olarak y&uuml;klemek. B&ouml;ylece sisteminizde herhangi bir dizinden do\u011frudan &ccedil;a\u011f\u0131rabilirsiniz:<\/p>\n<pre class=\"language-markup\"><code>C:\\Users\\OnderL&gt;npm install -g llm-checker<\/code><\/pre>\n<p>Buradaki&nbsp;<code>-g<\/code>&nbsp;bayra\u011f\u0131 (global flag), paketi yaln\u0131zca mevcut proje klas&ouml;r&uuml;ne de\u011fil, t&uuml;m sisteme y&uuml;kler. Bu sayede&nbsp;<code>llm-checker<\/code> komutunu istedi\u011fin her yerden &ccedil;al\u0131\u015ft\u0131rabilirsin.<\/p>\n<p><em><strong>\u0130pucu:<\/strong>&nbsp;Windows'ta kurulum s\u0131ras\u0131nda&nbsp;\"permission denied\"&nbsp;hatas\u0131 al\u0131yorsan, terminali Y&ouml;netici olarak &ccedil;al\u0131\u015ft\u0131r (Run as Administrator). macOS\/Linux'ta ise komutun ba\u015f\u0131na&nbsp;<code>sudo<\/code> ekle.<\/em><\/p>\n<p>&Ouml;rnek &Ccedil;\u0131kt\u0131&nbsp;<\/p>\n<p><em><img src=\"..\/..\/..\/uploads\/images\/2026\/03\/69c0f685176c3_1774253701.png\"><\/em><\/p>\n<p><em><img src=\"..\/..\/..\/uploads\/images\/2026\/03\/69c0f6a6564a1_1774253734.png\"><\/em><\/p>\n<h2>2. Tavsiye Modu: recommend<\/h2>\n<p>Kurulum tamamland\u0131ktan sonra as\u0131l sihir ba\u015fl\u0131yor.&nbsp;<code>recommend<\/code> alt komutu, kullan\u0131m senaryona g&ouml;re hangi LLM'in sana en uygun oldu\u011funu analiz eder:<\/p>\n<p>&nbsp;<\/p>\n<p>Ara&ccedil; sana birka&ccedil; soru sorar; b&uuml;t&ccedil;en, gecikme hassasiyetin, ba\u011flam penceresi ihtiyac\u0131n ve birincil kullan\u0131m senaryonu gibi fakt&ouml;rler &uuml;zerinden bir skor hesaplar ve en uygun modeli s\u0131ralar.<\/p>\n<p>&nbsp;<\/p>\n<h2>Ad\u0131m Ad\u0131m Kullan\u0131m Ak\u0131\u015f\u0131<\/h2>\n<ol class=\"step-list\">\n<li>\n<div class=\"step-num\">Node.js &amp; npm'nin Kurulu Oldu\u011fundan Emin Ol<\/div>\n<div class=\"step-content\">\n<p>Terminalde&nbsp;<code>node -v<\/code>&nbsp;ve&nbsp;<code>npm -v<\/code>&nbsp;&ccedil;al\u0131\u015ft\u0131r. Her ikisi de s&uuml;r&uuml;m numaras\u0131 d&ouml;nd&uuml;r&uuml;yorsa haz\u0131rs\u0131n.<\/p>\n<\/div>\n<\/li>\n<li>\n<div class=\"step-content\">\n<h4>Global Kurulum Yap<\/h4>\n<p><code>npm install -g llm-checker<\/code>&nbsp;komutunu &ccedil;al\u0131\u015ft\u0131r; kurulum birka&ccedil; saniye s&uuml;rer.<\/p>\n<\/div>\n<\/li>\n<li>\n<div class=\"step-content\">\n<h4>recommend Komutunu &Ccedil;al\u0131\u015ft\u0131r<\/h4>\n<p><code>llm-checker recommend<\/code>&nbsp;yaz\u0131p Enter'a bas. Kar\u015f\u0131na &ccedil;\u0131kan sorulara d&uuml;r&uuml;st&ccedil;e cevap ver.<\/p>\n<\/div>\n<\/li>\n<li>\n<div class=\"step-content\">\n<h4>Sonu&ccedil;lar\u0131 De\u011ferlendir<\/h4>\n<p>Ara&ccedil; sana s\u0131ral\u0131 bir model listesi ve her model i&ccedil;in skor, fiyat ve notlar sunar.<\/p>\n<\/div>\n<\/li>\n<li>\n<div class=\"step-content\">\n<h4>Modeli Entegre Et<\/h4>\n<p>Tavsiye edilen modelin API'sini projenize ekleyerek geli\u015ftirmeye ba\u015flayabilirsin.<\/p>\n<p>&nbsp;<\/p>\n<h2>Ekstra Komutlar<\/h2>\n<p>Sadece&nbsp;<code>recommend<\/code> ile s\u0131n\u0131rl\u0131 de\u011fil. Paketin sundu\u011fu di\u011fer faydal\u0131 komutlar:<\/p>\n<pre class=\"language-markup\"><code>llm-checker list\n&rarr; Desteklenen t&uuml;m modelleri listeler\nllm-checker compare gpt-4o claude-sonnet\n&rarr; \u0130ki modeli yan yana kar\u015f\u0131la\u015ft\u0131r\u0131r\nllm-checker --help\n&rarr; T&uuml;m se&ccedil;enekleri ve bayraklar\u0131 g&ouml;sterir<\/code><\/pre>\n<p>&nbsp;<\/p>\n<h3>&Ouml;zet Olarak<\/h3>\n<p>\u0130ki komutla &mdash;&nbsp;<code>npm install -g llm-checker<\/code>&nbsp;ve&nbsp;<code>llm-checker recommend<\/code> &mdash; y&uuml;zlerce LLM aras\u0131ndaki kaostan kurtulabilirsin. Bir sonraki projen i&ccedil;in hangi modeli se&ccedil;ece\u011fini art\u0131k terminal sana s&ouml;yl&uuml;yor.<\/p>\n<p><code class=\"bg-text-200\/5 border border-0.5 border-border-300 text-danger-000 whitespace-pre-wrap rounded-[0.4rem] px-1 py-px text-[0.9rem]\">llm-checker<\/code> fikir olarak g&uuml;zel, ama bu &ccedil;\u0131kt\u0131 <strong>g&uuml;venilir de\u011fil<\/strong>. Model veritaban\u0131 hatal\u0131, embedding\/generative ayr\u0131m\u0131 yapam\u0131yor. arac\u0131n potansiyeli var ama \u015fu an <strong>kritik do\u011fruluk sorunlar\u0131<\/strong> mevcut. &ouml;nerileri k&ouml;r&uuml; k&ouml;r&uuml;ne uygulamadan &ouml;nce Ollama Hub'dan do\u011frulamalar\u0131n\u0131 &ouml;neriyorum.<\/p>\n<p>Do\u011frudan \"hardware scan &rarr; model &ouml;ner\" format\u0131nda llm-checker'a alternatif &ccedil;ok az. Ama i\u015flevsel alternatifler var:<\/p>\n<hr>\n<h2>En \u0130yi Alternatifler<\/h2>\n<h3>1. LM Studio (GUI &mdash; En G&uuml;&ccedil;l&uuml; Alternatif)<\/h3>\n<p>Donan\u0131m\u0131 otomatik tespit edip optimize eden, Hugging Face'den model arama\/indirme ve g&ouml;rsel performans g&ouml;stergeleri sunan bir aray&uuml;ze sahip. llm-checker'\u0131n yapt\u0131\u011f\u0131n\u0131 GUI &uuml;zerinden &ccedil;ok daha g&uuml;venilir yap\u0131yor. Windows'ta Intel Arc GPU'lar\u0131 da Vulkan offloading ile destekliyor &mdash; senin sistemin i&ccedil;in &ouml;nemli bir art\u0131.<\/p>\n<pre><code>lmstudio.ai &rarr; indir &rarr; Hardware-aware model browser\n<\/code><\/pre>\n<hr>\n<h3>2. Ollama (CLI &mdash; Ama Farkl\u0131 Bir Ama&ccedil;)<\/h3>\n<p>Docker'\u0131 and\u0131ran tasar\u0131m\u0131yla, modeli ismiyle &ccedil;ekip tek komutla &ccedil;al\u0131\u015ft\u0131rabiliyorsun; OpenAI uyumlu yerel API sunuyor. Model &ouml;nermez ama &ouml;nerdikten sonra &ccedil;al\u0131\u015ft\u0131rmak i&ccedil;in standart.<\/p>\n<hr>\n<h3>3. GPT4All<\/h3>\n<p>Terminal veya GUI &uuml;zerinden &ccedil;al\u0131\u015fan, donan\u0131m\u0131 okuyup uyumlu modelleri filtreleyen hafif bir ara&ccedil;. llm-checker'a en yak\u0131n ruh hali bu.<\/p>\n<hr>\n<h2>D&uuml;r&uuml;st Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n<table>\n<thead>\n<tr>\n<th>Ara&ccedil;<\/th>\n<th>Model &Ouml;neri<\/th>\n<th>Donan\u0131m Okuma<\/th>\n<th>G&uuml;venilirlik<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>llm-checker<\/td>\n<td>\u2705 Var<\/td>\n<td>\u2705 Var<\/td>\n<td>\u26a0\ufe0f Hatal\u0131 sonu&ccedil;lar<\/td>\n<\/tr>\n<tr>\n<td>LM Studio<\/td>\n<td>\u2705 Var<\/td>\n<td>\u2705 Var<\/td>\n<td>\u2705 G&uuml;venilir<\/td>\n<\/tr>\n<tr>\n<td>GPT4All<\/td>\n<td>K\u0131smi<\/td>\n<td>\u2705 Var<\/td>\n<td>\u2705 G&uuml;venilir<\/td>\n<\/tr>\n<tr>\n<td>Ollama<\/td>\n<td>\u274c Yok<\/td>\n<td>K\u0131smi<\/td>\n<td>\u2705 G&uuml;venilir<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr>\n<p>&nbsp;<\/p>\n<\/div>\n<\/li>\n<\/ol>","excerpt":"iki basit terminal komutuyla y\u00fczlerce dil modelini kar\u015f\u0131la\u015ft\u0131r, ihtiyac\u0131na en uygun olan\u0131 bul.","created_at":"2026-03-23 11:09:15","updated_at":"2026-09-07 22:48:44","category_id":9,"view_count":674,"reading_time":4,"status":"published","editor_choice":0,"is_editor_choice":0,"published_at":"2026-03-23 08:09:36","featured_image":"\/uploads\/images\/2026\/03\/69c0f6e3ee119_1774253795.png","slug":"llm-checker-ile-dogru-llm-i-aninda-bul","category_name":"Yaz\u0131l\u0131m","category_slug":"yazilim","category_color":"#ef4444"}