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Domain > jabirproject.org
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More information on this domain is in
AlienVault OTX
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DNS Resolutions
Date
IP Address
2014-08-12
176.9.37.123
(
ClassC
)
2024-10-27
188.126.68.20
(
ClassC
)
2025-01-23
185.36.145.213
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyServer: nginx/1.18.0 (Ubuntu)Date: Mon, 21 Oct 2024 03:26:33 GMTContent-Type: text/htmlContent-Length: 178Connection: keep-aliveLocation: https://jabirproject.org/ html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>nginx/1.18.0 (Ubuntu)/center>/body>/html>
Port 443
HTTP/1.1 200 OKServer: nginx/1.18.0 (Ubuntu)Date: Mon, 21 Oct 2024 03:26:33 GMTContent-Type: text/htmlContent-Length: 10912Last-Modified: Mon, 30 Sep 2024 09:31:26 GMTConnection: keep-aliveETag: 66fa6 html> head> title>Jabir Project/title> link relstylesheet hrefhttps://unpkg.com/mvp.css> /head> body> header> nav> a href#>Jabir Project/a> ul> li>a href#>Home/a>/li> li>a href#about>About Project/a>/li> li>a href#api>API/a>/li> li>a href#faq>FAQ/a>/li> li>a href#docs>Documents/a>/li> li>a href#sponsors>Sponsors/a>/li> li>a hrefhttps://discord.gg/hvMJKw6Rsp>Community/a>/li> /ul> /nav> h1>The Biggest LLM which will always be free :-)/h1> /header> main> article id#about> h1>About Jabir Project/h1> article> strong>Jabir Project/strong> was initially a hobby project started in 2011 by a hrefhttps://haghiri75.com/en>Muhammadreza Haghiri/a> as an effort to make an operating system based on Ubuntu. The project continued until the late 2015 and went defunct since it wasnt worth maintaining anymore. Now, the project is back with new attitude of being a i>free of charge/i> generative AI platform. This website is dedicated to models developed by Jabir Team and this foundation will be non-profit as long as we can afford it. /article> h2>The model/h2> article> Jabir LLM is a 400 billion parameter model (based on LLaMa 3.1) trained on various datasets gathered from all over the internet. The main goal of this project is to be a i>multilingual/i> and i>general purpoese/i> model for different usecases. Weve tested the model on different tasks such as question answering in different languages (mostly English and Persian), code generation, basic reasoning tasks and the model showed a really good performance to all of them and most of the time the results were better than competitors such as strong>GPT-4o/strong>, strong>Claude 3.5 Sonnet/strong>, strong>Claude 3.5 Opus/str
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