Can I Run Cogito v1 32B on Apple M1?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

No. Cogito v1 32B needs 22.3 GB at 8K context (19.3 GB weights + 3 GB KV cache/overhead) at Q4_K_M and the Apple M1 has only 12 GB usable. No quantization we publish closes a gap that size.

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The numbers

ModelCogito v1 32B
Parameters32B
QuantizationQ4_K_M
VRAM needed (8K context)22.3 GB
Apple M1 usable memory12 GB
VerdictDoes not fit

Cogito v1 32B on the Apple M1: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1666.9 GB✗ No——
Q8_036.9 GB✗ No——
Q6_K29.2 GB✗ No——
Q5_K_M25.6 GB✗ No——
Q4_K_M22.3 GB✗ No——
Q3_K_M16.6 GB✗ No——
Q2_K13.5 GB✗ No——

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the Apple M1: 8K 22.3 GB ✗ · 32K 28.7 GB ✗ · 128K 54.5 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

What to do next

Either step down to a smaller size in this family, or move to a NVIDIA GeForce RTX 5090 Laptop GPU (24 GB), the card with the least memory we track that holds it.

No compatible GPU? Cogito v1 32B on 32 GB of system RAM, CPU only: runs comfortably.

Won't fit — rent Cogito v1 32B instead

Cogito v1 32B needs ~22 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:

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RunPod $0.34/hr
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

Other Cogito v1 sizes on the Apple M1

Cogito v1 32B on nearby hardware

All Cogito v1 sizes on the Apple M1 | Cogito v1 32B model page | Apple M1 GPU page | VRAM calculator | Check your hardware