Jzhisen.cn

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Host Informations


Host name	140.188.99.3
IP address	140.188.99.3
Location	United States
Latitude	37.751
Longitude	-97.822
Timezone	America/Chicago

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Port Scanner (IP: 140.188.99.3)

› Ftp: 21

› Ssh: 22

› Telnet: 23

› Smtp: 25

› Dns: 53

› Http: 80

› Pop3: 110

› Portmapper, rpcbind: 111

› Microsoft RPC services: 135

› Netbios: 139

› Imap: 143

› Ldap: 389

› Https: 443

› SMB directly over IP: 445

› Msa-outlook: 587

› IIS, NFS, or listener RFS remote_file_sharing: 1025

› Lotus notes: 1352

› Sql server: 1433

› Point-to-point tunnelling protocol: 1723

› My sql: 3306

› Remote desktop: 3389

› Session Initiation Protocol (SIP): 5060

› Virtual Network Computer display: 5900

› X Window server: 6001

› Webcache: 8080

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Semrush Domain Overview


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Site Inspections

Llama (language model) - Wikipedia
https://www.bing.com/ck/a?!&&p=49c41a2b3a8602502038ad68bcc69a12a66d8745b6b978b717b1cc9b8112785fJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnL3dpa2kvTGxhbWFfKGxhbmd1YWdlX21vZGVsKQ&ntb=1
The official Meta Llama 3 GitHub site
https://www.bing.com/ck/a?!&&p=c135f260f0008c575c5a8e5ebaf9e573d5c4b9c2e76a9a744eaef6f0604e5ebeJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9naXRodWIuY29tL21ldGEtbGxhbWEvbGxhbWEz&ntb=1
llama4
https://www.bing.com/ck/a?!&&p=897af27067fed6bc9d43b4e01250cb8e78b75ef6bedbc02af5485d237014d026JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9vbGxhbWEuY29tL2xpYnJhcnkvbGxhbWE0&ntb=1
Meta-Llama-3-8B - Hugging Face
https://www.bing.com/ck/a?!&&p=aae2cb3f40a48fda2774ca9a263d481dc48dde754018ef037e4b3dae58c5a06cJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9odWdnaW5nZmFjZS5jby9tZXRhLWxsYW1hL01ldGEtTGxhbWEtMy04Qg&ntb=1
What is Llama 4? The Ultimate Guide to Meta's Latest AI Model (2025 …
https://www.bing.com/ck/a?!&&p=f4cc0d776bf8d533642ab94bdf2ad014eaa7223b042b6bb61d3cb7e9d8cc11feJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cuZGF0YXNjaWVudGlzdGd1aWRlLmNvbS8yMDI1LzA0L3doYXQtaXMtbGxhbWEtNC11bHRpbWF0ZS1ndWlkZS10by1tZXRhcy5odG1s&ntb=1
Llama 3 vs Llama 3.1: A Detailed Comparison | PromptLayer
https://www.bing.com/ck/a?!&&p=123a442cce427778c6c38797d4dac32efcfa26996ad4aca48143ae32656a71ccJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9ibG9nLnByb21wdGxheWVyLmNvbS9tZXRhLW1vZGVsLWFuYWx5c2lzLWxsYW1hLTMtdnMtMy0xLw&ntb=1
Llama 4 models from Meta now available in Amazon Bedrock serverless
https://www.bing.com/ck/a?!&&p=8654e890f7224bd6cba34516a75388b0929ae954669fb39a4d6909929d19c379JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9hd3MuYW1hem9uLmNvbS9ibG9ncy9hd3MvbGxhbWEtNC1tb2RlbHMtZnJvbS1tZXRhLW5vdy1hdmFpbGFibGUtaW4tYW1hem9uLWJlZHJvY2stc2VydmVybGVzcy8&ntb=1
Llama 4 herd is here with Day 0 inference support in vLLM
https://www.bing.com/ck/a?!&&p=75e86efdccaf45bc2d324d27959d0d52edd89b017282aea5cb01da05d201724bJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9kZXZlbG9wZXJzLnJlZGhhdC5jb20vYXJ0aWNsZXMvMjAyNS8wNC8wNS9sbGFtYS00LWhlcmQtaGVyZS1kYXktemVyby1pbmZlcmVuY2Utc3VwcG9ydC12bGxt&ntb=1
Llama 3.1 Models: 405B vs 70B vs 8B - Which One to Choose? - MyScale
https://www.bing.com/ck/a?!&&p=c8e5c0810c3db5bb39f161ddd1aef522e8b4109ed907ca5b079c3c6a0f0176c7JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cubXlzY2FsZS5jb20vYmxvZy9sbGFtYS0zLTEtNDA1Yi03MGItOGItcXVpY2stY29tcGFyaXNvbi8&ntb=1
Show HN: GPULlama3.java Llama Compilied to PTX/OpenCL Now …
https://www.bing.com/ck/a?!&&p=4380874f67f3e80c597951f3dce82626ab8457e1b6fb3437f3dd1a442dd188e7JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9uZXdzLnljb21iaW5hdG9yLmNvbS9pdGVtP2lkPTQ2MjMzMDA5&ntb=1
llama3
https://www.bing.com/ck/a?!&&p=aa2af0d7975deb50b1e1952fe817fd942ae8abefc530fc4903075ec333442c68JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9vbGxhbWEuY29tL2xpYnJhcnkvbGxhbWEzOmxhdGVzdA&ntb=1
Llama 3.3: Meta releases new AI model - heise online
https://www.bing.com/ck/a?!&&p=7c58ed5ff96a05a70dd666b2bc7e314edfa6185c08a9d9a6f0542b6bf4c1b43cJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cuaGVpc2UuZGUvZW4vbmV3cy9MbGFtYS0zLTMtTWV0YS1yZWxlYXNlcy1uZXctQUktbW9kZWwtMTAxOTE5NzguaHRtbA&ntb=1
Meta debuts newest Llama AI model with help from Nvidia and others - CNBC
https://www.bing.com/ck/a?!&&p=3ba527738ac310dd6653b6c0b25c5ec3484a7db7eaaf2bf71a707f2236e3ee54JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cuY25iYy5jb20vMjAyNC8wNy8yMy9tZXRhLWRlYnV0cy1uZXdlc3QtbGxhbWEtYWktbW9kZWwtd2l0aC1oZWxwLWZyb20tbnZpZGlhLWFuZC1vdGhlcnMuaHRtbD9tc29ja2lkPTFjYmQ3ZGMyNDI4NjZjODMyYzUwNmIwMzQzNzU2ZDNi&ntb=1
Welcome Llama 3 - Meta's new open LLM - Hugging Face
https://www.bing.com/ck/a?!&&p=1df2b76441c4fe059cb72f824a20488456dcb3c409d144ad625576125f5d93aaJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9odWdnaW5nZmFjZS5jby9ibG9nL2xsYW1hMw&ntb=1
Meta releases Llama 4, a new crop of flagship AI models
https://www.bing.com/ck/a?!&&p=ee639bb8a7fa7c947f6e0380730addbab5948c1f4ad313b743cda2ef894e9e39JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly90ZWNoY3J1bmNoLmNvbS8yMDI1LzA0LzA1L21ldGEtcmVsZWFzZXMtbGxhbWEtNC1hLW5ldy1jcm9wLW9mLWZsYWdzaGlwLWFpLW1vZGVscy8&ntb=1
Llama vs GPT: A Comprehensive Comparison for Developers
https://www.bing.com/ck/a?!&&p=72ef01c1f1792ed3b291da76cbc07b4075341db8511b95418fe5eccf2a1d7520JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9jb2xsYWJuaXguY29tL2xsYW1hLXZzLWdwdC1hLWNvbXByZWhlbnNpdmUtY29tcGFyaXNvbi1mb3ItZGV2ZWxvcGVycy8&ntb=1
Introducing Llama 3.2 models from Meta in Amazon Bedrock: A new ...
https://www.bing.com/ck/a?!&&p=b70d5fbafa97875a092cc3d496f3ecee227210394140efe0b3763a6603ff785dJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9hd3MuYW1hem9uLmNvbS9ibG9ncy9hd3MvaW50cm9kdWNpbmctbGxhbWEtMy0yLW1vZGVscy1mcm9tLW1ldGEtaW4tYW1hem9uLWJlZHJvY2stYS1uZXctZ2VuZXJhdGlvbi1vZi1tdWx0aW1vZGFsLXZpc2lvbi1hbmQtbGlnaHR3ZWlnaHQtbW9kZWxzLw&ntb=1
llama3.3
https://www.bing.com/ck/a?!&&p=93f5651d714bbc85b984a5553b4cd1a204416a4b21f3463955f9f677d59168a1JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly9vbGxhbWEuY29tL2xpYnJhcnkvbGxhbWEzLjM&ntb=1
Meta releases new Llama 3.1 models, including highly anticipated
https://www.bing.com/ck/a?!&&p=edfd14d4c9fb977bfcabde2564c4cdd205b5acd3754af389a8627f45f7675d43JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cuaWJtLmNvbS90aGluay9uZXdzL21ldGEtcmVsZWFzZXMtbGxhbWEtMy0xLW1vZGVscy00MDViLXBhcmFtZXRlci12YXJpYW50&ntb=1
Meta releases larger version of its open source AI model
https://www.bing.com/ck/a?!&&p=52b9ee06743aaae4ec59060f7907cc577356bacc012c23104ab827794c5b8e18JmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cuYXhpb3MuY29tLzIwMjQvMDcvMjMvbWV0YS1yZWxlYXNlcy1vcGVuLXNvdXJjZS1sbGFtYS1haS1tb2RlbA&ntb=1
Llama 4 Herd is here and already works with Red Hat OpenShift AI
https://www.bing.com/ck/a?!&&p=f3e18448b052352fb5236645afed5391cea4761d7b865f0ada93f7fb2ce5873dJmltdHM9MTc2NTQ5NzYwMA&ptn=3&ver=2&hsh=4&fclid=1cbd7dc2-4286-6c83-2c50-6b0343756d3b&u=a1aHR0cHM6Ly93d3cucmVkaGF0LmNvbS9lbi9ibG9nL2xsYW1hLTQtaGVyZC1oZXJlLWFuZC1hbHJlYWR5LWF2YWlsYWJsZS1vcGVuc2hpZnQtYWk&ntb=1

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