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@zier_cukimay: 1/4 TFH -cr l2d:@zier_cukimay -cr char:gtw Nemu di pin - #zieredit #101community #l2d #fyp #100k #mentahan

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Friday 22 May 2026 08:39:59 GMT
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xycvz7
xy :
prist
2026-05-22 08:54:14
1
liyuu_nyamnyam
๐Ÿ“๐ŸŽ๐Ÿ“ ๐‹๐ข๐ฒ๐ฎ๐ฒ๐ฎ๐ฎ :๐Ÿ‘ :
makasi loh yaa
2026-05-22 11:44:06
0
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How to pick a local AI model that actually fits your Mac, in four steps. Save this one. โ‘  Measure the desk: Apple menu โ†’ About This Mac โ†’ Memory. Budget about ยพ (32 GB โ†’ ~24 GB). โ‘ก Read the name: in Qwen3-30B-A3B-Instruct-2507-Q4_K_M.gguf, two parts decide the fit. 30B = size (all of it sits in memory). Q4_K_M = quantization, about 4 bits per number instead of 16. โ‘ข Do the math: at Q4, about 0.6 GB per billion parameters. 8B โ‰ˆ 5 GB, 30B โ‰ˆ 18.6 GB, 70B โ‰ˆ 42 GB. โ‘ฃ Leave room to work: the chat itself (the KV cache) needs memory too. For Qwen3 30B-A3B, about 0.1 GB per 1,000 tokens. On a 32 GB Mac: Q8 โœ—, Q5 โœ—, Q4_K_M tight, Q3 fits. osFoundry does this check for you and badges each model: fits, tight, or no. #LocalLLM #LocalAI #Ollama #LMStudio #MacAI
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