{"id":209,"date":"2026-06-02T00:21:49","date_gmt":"2026-06-01T16:21:49","guid":{"rendered":"https:\/\/aidashxp.com\/meta-llama%e6%b7%b1%e5%ba%a6%e8%af%84%e6%b5%8b%ef%bc%9a%e5%bc%80%e6%ba%90ai%e4%b9%8b%e7%8e%8b%ef%bc%8c%e4%b8%ba%e4%bb%80%e4%b9%88%e5%85%a8%e7%90%83%e5%bc%80%e5%8f%91%e8%80%85%e9%83%bd%e9%80%89\/"},"modified":"2026-06-02T00:21:49","modified_gmt":"2026-06-01T16:21:49","slug":"meta-llama%e6%b7%b1%e5%ba%a6%e8%af%84%e6%b5%8b%ef%bc%9a%e5%bc%80%e6%ba%90ai%e4%b9%8b%e7%8e%8b%ef%bc%8c%e4%b8%ba%e4%bb%80%e4%b9%88%e5%85%a8%e7%90%83%e5%bc%80%e5%8f%91%e8%80%85%e9%83%bd%e9%80%89","status":"publish","type":"post","link":"https:\/\/aidashxp.com\/en\/meta-llama%e6%b7%b1%e5%ba%a6%e8%af%84%e6%b5%8b%ef%bc%9a%e5%bc%80%e6%ba%90ai%e4%b9%8b%e7%8e%8b%ef%bc%8c%e4%b8%ba%e4%bb%80%e4%b9%88%e5%85%a8%e7%90%83%e5%bc%80%e5%8f%91%e8%80%85%e9%83%bd%e9%80%89\/","title":{"rendered":"Meta Llama in-depth review: The king of open source AI, why do developers around the world choose it?"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Overall rating: 8.2\/10<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Meta Llama is the world's most influential open source large language model family.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcca Five-dimensional scorecard<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u7ef4\u5ea6<\/th><th>Score<\/th><th>Brief comment<\/th><\/tr><\/thead><tbody><tr><td>functional completeness<\/td><td>7.5 \/ 10<\/td><td>Mainly pure text model, multi-modal and tool calls need community expansion<\/td><\/tr><tr><td>\u6613\u7528\u6027<\/td><td>7.0 \/ 10<\/td><td>There are barriers to local deployment, but HuggingFace\/Ollama reduces the difficulty<\/td><\/tr><tr><td>Cost-effectiveness<\/td><td>10 \/ 10<\/td><td>Completely free and open source, commercially friendly, unrivaled<\/td><\/tr><tr><td>\u4e2d\u6587\u652f\u6301<\/td><td>7.0 \/ 10<\/td><td>Chinese ability improves year by year, but not as natural as domestic models<\/td><\/tr><tr><td>\u8f93\u51fa\u8d28\u91cf<\/td><td>8.0 \/ 10<\/td><td>The flagship version is close to GPT-4 level, and the small version is suitable for lightweight scenarios<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">\u2705 Core advantages<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Completely open source and free:<\/strong>MIT\/LLAMA license, download and use, unlimited commercial use.<\/li><li><strong>The largest open source model in the ecosystem:<\/strong>One of the most downloaded model families on HuggingFace, the community contributes extremely rich fine-tuned versions, quantified versions, and tool chains.<\/li><li><strong>Multiple sizes cover the whole scene:<\/strong>From 8B to 405B parameters, from mobile phones to data centers, a model system covers all computing power scenarios.<\/li><li><strong>Privacy and security:<\/strong>Data does not leave your own server, making it the best choice for sensitive industries such as finance, medical care, and government affairs.<\/li><li><strong>Continue to catch up with closed source:<\/strong>Each generation of Llama shrinks with GPT\/<a href=\"https:\/\/claude.ai\" target=\"_blank\" rel=\"nofollow noopener\">Claude<\/a> gap, Llama 4 is close to GPT-4.1 on some benchmarks.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u274cMain shortcomings<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Need to deploy yourself:<\/strong>To use Llama well, you must have a GPU, know how to deploy, and be able to adjust parameters.<\/li><li><strong>Weak multi-modal capabilities:<\/strong>The core is a pure text model, and image and video understanding requires additional components or derivative versions.<\/li><li><strong>Chinese is not as good as domestic models:<\/strong>The training data is mainly in English, and the Chinese expression is not authentic enough.<\/li><li><strong>Lack of commercial support:<\/strong>There is no official API and SLA like OpenAI, and if there is a problem, it is up to the community.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcb0 How to use<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Way<\/th><th>cost<\/th><th>Hardware requirements<\/th><\/tr><\/thead><tbody><tr><td>Ollama runs locally<\/td><td>free<\/td><td>8B: 8GB RAM; 70B: 32GB+ RAM\/GPU<\/td><\/tr><tr><td>HuggingFace Download<\/td><td>free<\/td><td>Self-deployed, GPU required<\/td><\/tr><tr><td>Cloud API (Groq\/Together)<\/td><td>About $0.1-0.5\/M token<\/td><td>No hardware required<\/td><\/tr><tr><td>Meta.ai web version<\/td><td>free<\/td><td>No hardware required, but functionality is limited<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83c\udfaf Who is it suitable for?<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Developer and technical team:<\/strong>Want to integrate AI capabilities into your own products, but don\u2019t want to be locked in by API vendors?<\/li><li><strong>Privacy sensitive industries:<\/strong>Scenarios such as finance, medical care, law, etc. that require data that cannot be exported locally<\/li><li><strong>AI researchers and students:<\/strong>You can freely fine-tune, experiment, and publish papers without any restrictions.<\/li><li><strong>Not suitable for:<\/strong>Ordinary users who don\u2019t want to bother with technology (directly choose <a href=\"https:\/\/chatgpt.com\" target=\"_blank\" rel=\"nofollow noopener\">ChatGPT<\/a>); Scenarios that require the strongest multi-modal capabilities (select Gemini)<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udcdd Summary<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Llama isn't the strongest AI, but it is the freest.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u7efc\u5408\u8bc4\u5206\uff1a8.2 \/ 10 Meta L [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2],"tags":[16,43,45,44,30],"class_list":["post-209","post","type-post","status-publish","format-standard","hentry","category-ai-writing","tag-ai","tag-llama","tag-llm","tag-meta","tag-30"],"_links":{"self":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts\/209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/comments?post=209"}],"version-history":[{"count":0,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts\/209\/revisions"}],"wp:attachment":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/media?parent=209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/categories?post=209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/tags?post=209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}