CINXE.COM

<!DOCTYPE html><html lang="en"> <head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><link rel="icon" href="/assets/favicon.ico"/><script defer="" data-domain="star-history.com" src="https://plausible.io/js/script.js"></script><meta name="next-head-count" content="4"/><link data-next-font="size-adjust" rel="preconnect" href="/" crossorigin="anonymous"/><link rel="preload" href="/_next/static/css/f94657194d4c857a.css" as="style" crossorigin=""/><link rel="stylesheet" href="/_next/static/css/f94657194d4c857a.css" crossorigin="" data-n-g=""/><noscript data-n-css=""></noscript><script defer="" crossorigin="" nomodule="" src="/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js"></script><script src="/_next/static/chunks/webpack-38cee4c0e358b1a3.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/framework-fda0a023b274c574.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/main-001c9e19b1894c7d.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/pages/_app-915effad870aa62e.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/6c86d9ce-d8b7531786dd65a5.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/472-8057db644de3d496.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/590-424e875b939d2364.js" defer="" crossorigin=""></script><script src="/_next/static/chunks/pages/blog/%5Bslug%5D-7b378153203b51eb.js" defer="" crossorigin=""></script><script src="/_next/static/3PucPEiDqBQs0A7faRZkR/_buildManifest.js" defer="" crossorigin=""></script><script src="/_next/static/3PucPEiDqBQs0A7faRZkR/_ssgManifest.js" defer="" crossorigin=""></script></head><body><div id="__next"><div class="relative w-full h-auto min-h-screen overflow-auto flex flex-col"><title>Star History Monthly Pick | Llama 2 and Ecosystem Edition</title><meta name="description" content="Meta released Llama 2 in July, which can be freely used for research and commercial purposes. We are taking a look at some open-source options to get started with Llama 2 on your own machine."/><meta property="og:type" content="website"/><meta property="og:url" content="https://star-history.com/blog/llama2"/><meta property="og:title" content="Star History Monthly Pick | Llama 2 and Ecosystem Edition"/><meta property="og:description" content="Meta released Llama 2 in July, which can be freely used for research and commercial purposes. We are taking a look at some open-source options to get started with Llama 2 on your own machine."/><meta property="og:image" content="https://star-history.com/assets/blog/llama2/banner.webp"/><meta name="twitter:card" content="summary_large_image"/><meta name="twitter:url" content="https://star-history.com/blog/llama2"/><meta name="twitter:title" content="Star History Monthly Pick | Llama 2 and Ecosystem Edition"/><meta name="twitter:description" content="Meta released Llama 2 in July, which can be freely used for research and commercial purposes. We are taking a look at some open-source options to get started with Llama 2 on your own machine."/><meta name="twitter:image" content="https://star-history.com/assets/blog/llama2/banner.webp"/><nav><div class="flex justify-center items-center gap-x-6 bg-green-600 px-6 py-1 sm:px-3.5 "><p class="text-sm leading-6 text-white"><a href="/blog/list-your-open-source-project">Want to promote your open source project? Be on our ⭐️Starlet List⭐️ for FREE →</a></p></div></nav><header class="w-full h-14 shrink-0 flex flex-row justify-center items-center bg-[#363636] text-light"><div class="w-full md:max-w-5xl lg:max-w-7xl h-full flex flex-row justify-between items-center px-0 sm:px-4"><div class="h-full bg-dark flex flex-row justify-start items-center"><a class="h-full flex flex-row justify-center items-center px-3 hover:bg-zinc-800" href="/"><img class="w-7 h-auto" src="/assets/icon.png" alt="Logo"/></a><a class="h-full flex flex-row justify-center items-center text-base px-3 hover:bg-zinc-800" href="/blog"><span class="text-white font-semibold -2">Blog</span></a><span class="h-full flex flex-row justify-center items-center cursor-pointer text-white text-base px-3 font-semibold mr-2 hover:bg-zinc-800">Add Access Token</span></div><div class="hidden h-full md:flex flex-row justify-start items-center"><a target="_blank" rel="noopener noreferrer" class="h-full flex text-white text-base flex-row justify-center items-center px-4 hover:bg-zinc-800" href="https://www.bytebase.com/?source=star-history"><img class="h-6 mt-1 mr-2" src="/assets/craft-by-bytebase.webp" alt=""/></a></div><div class="h-full hidden md:flex flex-row justify-end items-center space-x-2"><a class="h-full flex flex-row justify-center items-center px-2 hover:bg-zinc-800" href="https://twitter.com/StarHistoryHQ" target="_blank" rel="noopener noreferrer"><i class="fab fa-twitter text-2xl text-blue-300"></i></a></div><div class="h-full flex md:hidden flex-row justify-end items-center"><span class="relative h-full w-10 px-3 flex flex-row justify-center items-center cursor-pointer font-semibold text-light hover:bg-zinc-800"><span class="w-4 transition-all h-px bg-light absolute top-1/2 -mt-1"></span><span class="w-4 transition-all h-px bg-light absolute top-1/2 "></span><span class="w-4 transition-all h-px bg-light absolute top-1/2 mt-1"></span></span></div></div></header><div class="w-full h-auto py-2 flex md:hidden flex-col justify-start items-start shadow-lg border-b hidden"><a class="h-12 text-base px-3 w-full flex flex-row justify-start items-center cursor-pointer font-semibold text-dark mr-2 hover:bg-gray-100 hover:text-blue-500" href="/blog/how-to-use-github-star-history">📕 How to use this site</a><span class="h-12 px-3 text-base w-full flex flex-row justify-start items-center cursor-pointer font-semibold text-dark mr-2 hover:bg-gray-100 hover:text-blue-500">Add Access Token</span><span class="h-12 text-base px-3 w-full flex flex-row justify-start items-center"><a class="github-button -mt-1" href="https://github.com/star-history/star-history" data-show-count="true" aria-label="Star star-history/star-history on GitHub" target="_blank" rel="noopener noreferrer">Star</a></span></div><div class="w-full h-auto grow lg:grid lg:grid-cols-[256px_1fr_256px]"><div class="w-full hidden lg:block"><div class="flex flex-col justify-start items-start w-full mt-2 p-4 pl-8"><a class="hover:opacity-75" href="/blog/list-your-open-source-project"><img class="w-auto max-w-full" src="/assets/starlet-icon.webp"/></a><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Playbook</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/how-to-use-github-star-history"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">📕 How to Use this Site</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/playbook-for-more-github-stars"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">⭐️ How to Get More Stars</span></a></li></ul></div><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Monthly Pick</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/knowledge-management"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2025 Jan (Knowledge management)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-data-visualization"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Dec (AI Data Visualization)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-devtools"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Nov (AI DevTools)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/homelab"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Oct (Homelab)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-agents"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Sep (AI Agents)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/rag-frameworks"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Aug (RAG frameworks)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-generators"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Jul (AI Generators)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-search"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Jun (AI Searches)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-web-scraper"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 May (AI Web Scraper)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prompt-engineering"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Apr (AI Prompt)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/non-ai"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Mar (Non-AI)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/most-underrated"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Feb (Most Underrated)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/text2sql"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024 Jan (Text2SQL)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/gpt-wrappers"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Dec (GPT Wrappers)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/tts"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Nov (TTS)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/ai-for-postgres"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Oct (AI for Postgres)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/coding-ai"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Sept (Coding AI)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/cli-tool-for-llm"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Aug (CLI tool for LLMs)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/llama2"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 July (Llama 2 Edition)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202306"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 June</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202305"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 May</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202304"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Apr</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202303"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Mar (ChatGPT Edition)</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202302"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Feb</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202301"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023 Jan</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-monthly-pick-202212"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Dec</span></a></li></ul></div><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Yearly Pick</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/best-of-2024"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2024</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/best-of-2023"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2023</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-yearly-pick-2022-data-infra-devtools"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Data, Infra & DevTools</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-open-source-2022-platform-engineering"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Platform Engineering</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-open-source-2022-open-source-alternatives"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 OSS Alternatives</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/star-history-yearly-pick-2022-frontend"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">2022 Front-end</span></a></li></ul></div><div><div class="w-full flex flex-row justify-between items-center my-2"><h3 class="text-sm font-medium text-gray-400 leading-6">Starlet List</h3></div><ul class="list-disc list-inside"><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/list-your-open-source-project"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">🎁 Prompt yours for FREE</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/trench"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #28 - Trench</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/langfuse"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #27 - langfuse</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/thepipe"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #26 - thepi.pe</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/taipy"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #25 - Taipy</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/superlinked"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #24 - Superlinked</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/tea-tasting"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #23 - tea-tasting</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/giskard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #22 - Giskard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/khoj"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #21 - Khoj</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/paradedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #20 - ParadeDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/skyvern"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #19 - Skyvern</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prisma"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #18 - Prisma</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/spicedb"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #17 - SpiceDB</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/answer"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #16 - Apache Answer</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/infinity"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #15 - Infinity</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/proton"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #14 - Proton</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/earthly"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #13 - Earthly</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/wasp"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #12 - Wasp</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/libsql"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #11 - libSQL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/postgresml"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #10 - PostgresML</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/electricsql"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #9 - ElectricSQL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/prompt-flow"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #8 - Prompt flow</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/clipboard"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #7 - Clipboard</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/hoppscotch"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #6 - Hoppscotch</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/metisfl"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #5 - MetisFL</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/chatgpt-js"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #4 - chatgpt.js</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/mockoon"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #3 - Mockoon</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/dlta-ai"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #2 - DLTA-AI</span></a></li><li class="mb-2 leading-3"><a class="cursor-pointer" rel="noopener noreferrer" href="/blog/sniffnet"><span class="inline -ml-2 text-sm text-blue-700 hover:underline">Issue #1 - Sniffnet</span></a></li></ul></div></div></div><div class="w-full flex flex-col justify-start items-center"><div class="w-full p-4 md:p-0 mt-6 md:w-5/6 lg:max-w-6xl h-full flex flex-col justify-start items-center self-center"><img class="hidden md:block w-auto max-w-full object-scale-down" src="/assets/blog/llama2/banner.webp" alt=""/><div class="w-auto max-w-6xl mt-4 md:mt-12 prose prose-indigo prose-xl md:prose-2xl flex flex-col justify-center items-center"><h1 class="leading-16">Star History Monthly Pick | Llama 2 and Ecosystem Edition</h1></div><div class="w-full mt-8 mb-2 max-w-6xl px-2 flex flex-row items-center justify-center text-sm text-gray-900 font-semibold trackingwide uppercase"><div class="flex space-x-1 text-gray-500"><span class="text-gray-900">Mila</span><span aria-hidden="true"> · </span><time dateTime="2023-08-23T09:50:06.000Z">Aug 23, 2023</time><span aria-hidden="true"> · </span><span> 4 min read </span></div></div><div class="mt-8 w-full max-w-5xl prose prose-indigo prose-xl md:prose-2xl"><p>On July 18th, Meta <a href="https://ai.meta.com/blog/llama-2/">released</a> Llama 2, the next generation of Llama. It can be freely used for research and commercial purposes, and supports private deployment.</p> <p>Therefore, we have located a few open-source projects to help you quickly get started with Llama 2 on your own machine, regardless of what it is!</p> <h2>Llama</h2> <p><img src="/assets/blog/llama2/llama.webp" alt="llama"></p> <p><a href="https://github.com/facebookresearch/llama">Llama</a> itself is an open-source Large Language Model (LLM), trained with publicly available data. It was <a href="https://ai.meta.com/blog/large-language-model-llama-meta-ai/">officially open-sourced</a> earlier this February and five months later, a new generation was released.</p> <p>Compared to the original version, Llama 2 was trained on 2 trillion tokens, have double the context length than Llama 1, and comes with three different parameter sizes: 7B, 13B, and 70B. The difference in parameters allows you to choose between a smaller and faster model or a more accurate one based on your preferences.</p> <p><img src="/assets/blog/llama2/llama-models.webp" alt="llama-models"></p> <h2>llama.cpp</h2> <p><img src="/assets/blog/llama2/llama-cpp.webp" alt="llama-cpp"></p> <p><a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> is one of the achievements by the community mentioned in Meta's official announcement. It has rewritten Llama's inference code in C++, and through various optimizations, it has challenged our understanding: it can run large-scale LLMs quickly on ordinary hardware. For example:</p> <ul> <li>On the Google Pixel5, it can run the 7B model at 1 token/s.</li> <li>On the M2 Macbook Pro, it can run the 7B model at 16 tokens/s.</li> <li>On Raspberry Pi with 4GB RAM, it can run the 7B model at 0.1 token/s.</li> </ul> <p>This project is so successful that the author, Georgi Gerganov, established his side project as a startup called <a href="http://ggml.ai">ggml.ai</a> (a tensor library for machine learning, powering both llama.cpp and whisper.cpp).</p> <p><img src="/assets/blog/llama2/ggml-ai.webp" alt="ggml-ai"></p> <h2>Ollama</h2> <p><img src="/assets/blog/llama2/ollama.webp" alt="ollama"></p> <p><a href="https://github.com/jmorganca/ollama">Ollama</a> is designed to run, create, and share LLMs easily. It was originally designed for macOS, (with Windows and Linux coming soon, as per their website).</p> <p>Ollama's author <a href="https://news.ycombinator.com/item?id=36802582">previously</a> worked at Docker, and the rise of open-source language models inspired him that LLMs could use something similar. This led to the idea of providing pre-compiled packages with adjustable parameters.</p> <p>Once you have downloaded Ollama on your Mac, you can start chatting with Llama 2 by simply running <code>ollama run llama2</code>.</p> <p><img src="/assets/blog/llama2/ollama-mac.webp" alt="0llama-mac"></p> <h2>MLC LLM</h2> <p><img src="/assets/blog/llama2/mlc-llm.webp" alt="mlc-llm"></p> <p><a href="https://github.com/mlc-ai/mlc-llm">MLC LLM</a> aims to enable you to develop, optimize, and deploy AI models on any device. You can natively deploy any LLM on a diverse set of hardware backends and native applications (supported devices include mobile phones, tablets, computers, and web browsers) without the need for server support. You can also further optimize the model performance to suit your own use cases.</p> <p>MLC Chat already launched on the Apple App Store and now supports the Llama-2-7b model. It is simple and super easy to get started with, although my iPhone got really after 3 questions 😅 (Side note: looks like Llama 2 still has a lot of room for growth tho, is any of these SQL Editors real?).</p> <p><img src="/assets/blog/llama2/mlc-llm-app.webp" alt="mlc-llm-app"></p> <h2>LlamaGPT</h2> <p><img src="/assets/blog/llama2/llamagpt.webp" alt="llamagpt"></p> <p><a href="https://github.com/getumbrel/llama-gpt">LlamaGPT</a> has proven that the AI tide is still at its highest, as it has already gained 6.6K stars on GitHub just five days after being open-sourced.</p> <p>It is a self-hosted chatbot that offers a similar experience to ChatGPT but does not transmit any data to external devices. Currently, all three models of Llama are supported, and llama.cpp is utilized in the backend (all hail open source).</p> <p>Compared to the aforementioned tools, LlamaGPT is a more complete application with a UI and does not require manual configuration or optimizing parameters. This makes it the most friendly for non-technical users to get started with Llama 2.</p> <p><img src="/assets/blog/llama2/llamagpt-ui.webp" alt="llamagpt-ui"></p> <h2>Last but not least</h2> <p>As an open-source, free, and commercially available LLM, Llama has brought AI closer to us. Although it may not be as advanced as other paid models, just like Meta mentioned in the press release, "We have experienced the benefits of open source, such as React and PyTorch, which are now commonly used infrastructure for the entire technology industry. We believe that openly sharing today’s large language models will support the development of helpful and safer generative AI too." With the power of the community, Llama and its ecosystem will surely continue to iterate (quickly).</p> <p>But of course, there are many other ways to start using Llama 2, via Homebrew, Poe, etc. For some further reading:</p> <ul> <li><a href="https://simonwillison.net/2023/Aug/1/llama-2-mac/">Run Llama 2 on your own Mac using LLM and Homebrew</a></li> <li><a href="https://huggingface.co/blog/llama2">Llama 2 is here - get it on Hugging Face</a></li> <li><a href="https://replicate.com/blog/run-llama-locally">A comprehensive guide to running Llama 2 locally</a></li> </ul> <h2>AND: the Starlet Issues</h2> <p>Another piece of news for the month of July: we started a new column "<a href="/blog/list-your-open-source-project">Starlet List</a>". If you are an open-source maintainer and would like to promote your project (for free!), shoot us an Email at <a href="mailto:star@bytebase.com">star@bytebase.com</a>, and tell us how your project wants to be presented to the audience.</p> <p>In the meantime, check out the July starlets:</p> <ul> <li><a href="/blog/sniffnet">Sniffnet</a></li> <li><a href="/blog/dlta-ai">DLTA-AI</a></li> </ul> </div></div><div class="mt-12"><iframe src="https://embeds.beehiiv.com/2803dbaa-d8dd-4486-8880-4b843f3a7da6?slim=true" data-test-id="beehiiv-embed" height="52" frameBorder="0" scrolling="no" style="margin:0;border-radius:0px !important;background-color:transparent"></iframe></div></div><div class="w-full hidden lg:block"></div></div><footer class="relative w-full shrink-0 h-auto mt-6 flex flex-col justify-end items-center"><div class="w-full py-2 px-3 md:w-5/6 lg:max-w-7xl flex flex-row flex-wrap justify-between items-center text-neutral-700 border-t"><div class="text-sm leading-8 flex flex-row flex-wrap justify-start items-center"><div class="h-full text-gray-600">The missing GitHub star history graph</div><a class="h-full flex flex-row justify-center items-center ml-3 text-lg hover:opacity-80" href="https://twitter.com/StarHistoryHQ" target="_blank" rel="noopener noreferrer"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 512 512" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg></a><a class="h-full flex flex-row justify-center items-center mx-3 text-lg hover:opacity-80" href="mailto:star@bytebase.com" target="_blank" rel="noopener noreferrer"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 512 512" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"></path></svg></a><a class="h-full flex flex-row justify-center items-center mr-3 text-lg hover:opacity-80" href="https://github.com/star-history/star-history" target="_blank" rel="noopener noreferrer"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 496 512" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path></svg></a></div><div class="flex flex-row flex-wrap items-center space-x-4"><div class="flex flex-row text-sm leading-8 underline text-blue-700 hover:opacity-80"><img class="h-6 mt-1 mr-2" src="/assets/sqlchat.webp" alt="SQL Chat"/><a href="https://sqlchat.ai" target="_blank" rel="noopener noreferrer"> SQL Chat </a></div><div class="flex flex-row text-sm leading-8 underline text-blue-700 hover:opacity-80"><img class="h-6 mt-1 mr-2" src="/assets/dbcost.webp" alt="DB Cost"/><a href="https://dbcost.com" target="_blank" rel="noopener noreferrer">DB Cost</a></div></div><div class="text-xs leading-8 flex flex-row flex-nowrap justify-end items-center"><span class="text-gray-600">Maintained by <a class="text-blue-500 font-bold hover:opacity-80" href="https://bytebase.com" target="_blank" rel="noopener noreferrer">Bytebase</a>, originally built by <a class="bg-blue-400 text-white p-1 pl-2 pr-2 rounded-l-2xl rounded-r-2xl hover:opacity-80" href="https://twitter.com/tim_qian" target="_blank" rel="noopener noreferrer">@tim_qian</a></span></div></div></footer><div class="fixed right-0 top-32 hidden lg:flex flex-col justify-start items-start transition-all bg-white w-48 xl:w-56 p-2 z-10 "><div class="w-full flex justify-between items-center mb-2"><p class="text-xs text-gray-400">Sponsors (random order)</p><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 352 512" class="fas fa-times text-xs text-gray-400 cursor-pointer hover:text-gray-500" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M242.72 256l100.07-100.07c12.28-12.28 12.28-32.19 0-44.48l-22.24-22.24c-12.28-12.28-32.19-12.28-44.48 0L176 189.28 75.93 89.21c-12.28-12.28-32.19-12.28-44.48 0L9.21 111.45c-12.28 12.28-12.28 32.19 0 44.48L109.28 256 9.21 356.07c-12.28 12.28-12.28 32.19 0 44.48l22.24 22.24c12.28 12.28 32.2 12.28 44.48 0L176 322.72l100.07 100.07c12.28 12.28 32.2 12.28 44.48 0l22.24-22.24c12.28-12.28 12.28-32.19 0-44.48L242.72 256z"></path></svg></div><a href="https://bytebase.com?utm_source=star-history" class="bg-gray-50 p-2 rounded w-full flex flex-col justify-center items-center mb-2 text-zinc-600 hover:opacity-80 hover:text-blue-600 hover:underline" target="_blank"><img class="w-auto max-w-full" src="/assets/sponsors/bytebase/logo.webp" alt="Bytebase"/><span class="text-xs mt-2">Bytebase: Database DevOps and CI/CD for MySQL, PG, Oracle, SQL Server, Snowflake, ClickHouse, Mongo, Redis</span></a><a href="https://dify.ai/?utm_source=star-history" class="bg-gray-50 p-2 rounded w-full flex flex-col justify-center items-center mb-2 text-zinc-600 hover:opacity-80 hover:text-blue-600 hover:underline" target="_blank"><img class="w-auto max-w-full" src="/assets/sponsors/dify/logo.webp" alt="Dify"/><span class="text-xs mt-2">Dify: Open-source platform for building LLM apps, from agents to AI workflows.</span></a><a href="mailto:star@bytebase.com?subject=I'm interested in sponsoring star-history.com" target="_blank" class="w-full p-2 text-center bg-gray-50 text-xs leading-6 text-gray-400 rounded hover:underline hover:text-blue-600">Your logo</a></div></div></div><script id="__NEXT_DATA__" type="application/json" crossorigin="">{"props":{"pageProps":{"blog":{"title":"Star History Monthly Pick | Llama 2 and Ecosystem Edition","slug":"llama2","author":"Mila","featured":true,"featureImage":"/assets/blog/llama2/banner.webp","publishedDate":"2023-08-23T09:50:06.000Z","excerpt":"Meta released Llama 2 in July, which can be freely used for research and commercial purposes. We are taking a look at some open-source options to get started with Llama 2 on your own machine.","readingTime":4},"parsedBlogHTML":"\u003cp\u003eOn July 18th, Meta \u003ca href=\"https://ai.meta.com/blog/llama-2/\"\u003ereleased\u003c/a\u003e Llama 2, the next generation of Llama. It can be freely used for research and commercial purposes, and supports private deployment.\u003c/p\u003e\n\u003cp\u003eTherefore, we have located a few open-source projects to help you quickly get started with Llama 2 on your own machine, regardless of what it is!\u003c/p\u003e\n\u003ch2\u003eLlama\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/llama.webp\" alt=\"llama\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/facebookresearch/llama\"\u003eLlama\u003c/a\u003e itself is an open-source Large Language Model (LLM), trained with publicly available data. It was \u003ca href=\"https://ai.meta.com/blog/large-language-model-llama-meta-ai/\"\u003eofficially open-sourced\u003c/a\u003e earlier this February and five months later, a new generation was released.\u003c/p\u003e\n\u003cp\u003eCompared to the original version, Llama 2 was trained on 2 trillion tokens, have double the context length than Llama 1, and comes with three different parameter sizes: 7B, 13B, and 70B. The difference in parameters allows you to choose between a smaller and faster model or a more accurate one based on your preferences.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/llama-models.webp\" alt=\"llama-models\"\u003e\u003c/p\u003e\n\u003ch2\u003ellama.cpp\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/llama-cpp.webp\" alt=\"llama-cpp\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/ggerganov/llama.cpp\"\u003ellama.cpp\u003c/a\u003e is one of the achievements by the community mentioned in Meta\u0026#39;s official announcement. It has rewritten Llama\u0026#39;s inference code in C++, and through various optimizations, it has challenged our understanding: it can run large-scale LLMs quickly on ordinary hardware. For example:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eOn the Google Pixel5, it can run the 7B model at 1 token/s.\u003c/li\u003e\n\u003cli\u003eOn the M2 Macbook Pro, it can run the 7B model at 16 tokens/s.\u003c/li\u003e\n\u003cli\u003eOn Raspberry Pi with 4GB RAM, it can run the 7B model at 0.1 token/s.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThis project is so successful that the author, Georgi Gerganov, established his side project as a startup called \u003ca href=\"http://ggml.ai\"\u003eggml.ai\u003c/a\u003e (a tensor library for machine learning, powering both llama.cpp and whisper.cpp).\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/ggml-ai.webp\" alt=\"ggml-ai\"\u003e\u003c/p\u003e\n\u003ch2\u003eOllama\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/ollama.webp\" alt=\"ollama\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/jmorganca/ollama\"\u003eOllama\u003c/a\u003e is designed to run, create, and share LLMs easily. It was originally designed for macOS, (with Windows and Linux coming soon, as per their website).\u003c/p\u003e\n\u003cp\u003eOllama\u0026#39;s author \u003ca href=\"https://news.ycombinator.com/item?id=36802582\"\u003epreviously\u003c/a\u003e worked at Docker, and the rise of open-source language models inspired him that LLMs could use something similar. This led to the idea of providing pre-compiled packages with adjustable parameters.\u003c/p\u003e\n\u003cp\u003eOnce you have downloaded Ollama on your Mac, you can start chatting with Llama 2 by simply running \u003ccode\u003eollama run llama2\u003c/code\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/ollama-mac.webp\" alt=\"0llama-mac\"\u003e\u003c/p\u003e\n\u003ch2\u003eMLC LLM\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/mlc-llm.webp\" alt=\"mlc-llm\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/mlc-ai/mlc-llm\"\u003eMLC LLM\u003c/a\u003e aims to enable you to develop, optimize, and deploy AI models on any device. You can natively deploy any LLM on a diverse set of hardware backends and native applications (supported devices include mobile phones, tablets, computers, and web browsers) without the need for server support. You can also further optimize the model performance to suit your own use cases.\u003c/p\u003e\n\u003cp\u003eMLC Chat already launched on the Apple App Store and now supports the Llama-2-7b model. It is simple and super easy to get started with, although my iPhone got really after 3 questions 😅 (Side note: looks like Llama 2 still has a lot of room for growth tho, is any of these SQL Editors real?).\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/mlc-llm-app.webp\" alt=\"mlc-llm-app\"\u003e\u003c/p\u003e\n\u003ch2\u003eLlamaGPT\u003c/h2\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/llamagpt.webp\" alt=\"llamagpt\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003ca href=\"https://github.com/getumbrel/llama-gpt\"\u003eLlamaGPT\u003c/a\u003e has proven that the AI tide is still at its highest, as it has already gained 6.6K stars on GitHub just five days after being open-sourced.\u003c/p\u003e\n\u003cp\u003eIt is a self-hosted chatbot that offers a similar experience to ChatGPT but does not transmit any data to external devices. Currently, all three models of Llama are supported, and llama.cpp is utilized in the backend (all hail open source).\u003c/p\u003e\n\u003cp\u003eCompared to the aforementioned tools, LlamaGPT is a more complete application with a UI and does not require manual configuration or optimizing parameters. This makes it the most friendly for non-technical users to get started with Llama 2.\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"/assets/blog/llama2/llamagpt-ui.webp\" alt=\"llamagpt-ui\"\u003e\u003c/p\u003e\n\u003ch2\u003eLast but not least\u003c/h2\u003e\n\u003cp\u003eAs an open-source, free, and commercially available LLM, Llama has brought AI closer to us. Although it may not be as advanced as other paid models, just like Meta mentioned in the press release, \u0026quot;We have experienced the benefits of open source, such as React and PyTorch, which are now commonly used infrastructure for the entire technology industry. We believe that openly sharing today’s large language models will support the development of helpful and safer generative AI too.\u0026quot; With the power of the community, Llama and its ecosystem will surely continue to iterate (quickly).\u003c/p\u003e\n\u003cp\u003eBut of course, there are many other ways to start using Llama 2, via Homebrew, Poe, etc. For some further reading:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://simonwillison.net/2023/Aug/1/llama-2-mac/\"\u003eRun Llama 2 on your own Mac using LLM and Homebrew\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://huggingface.co/blog/llama2\"\u003eLlama 2 is here - get it on Hugging Face\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://replicate.com/blog/run-llama-locally\"\u003eA comprehensive guide to running Llama 2 locally\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eAND: the Starlet Issues\u003c/h2\u003e\n\u003cp\u003eAnother piece of news for the month of July: we started a new column \u0026quot;\u003ca href=\"/blog/list-your-open-source-project\"\u003eStarlet List\u003c/a\u003e\u0026quot;. If you are an open-source maintainer and would like to promote your project (for free!), shoot us an Email at \u003ca href=\"mailto:star@bytebase.com\"\u003estar@bytebase.com\u003c/a\u003e, and tell us how your project wants to be presented to the audience.\u003c/p\u003e\n\u003cp\u003eIn the meantime, check out the July starlets:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"/blog/sniffnet\"\u003eSniffnet\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"/blog/dlta-ai\"\u003eDLTA-AI\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n"},"__N_SSG":true},"page":"/blog/[slug]","query":{"slug":"llama2"},"buildId":"3PucPEiDqBQs0A7faRZkR","isFallback":false,"gsp":true,"scriptLoader":[]}</script></body></html>