Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~4.7 GB of headroom running EXAONE 3.5 32B at Q4_K_M (19.32 GB, ~28 tok/s (est.)) with room for up to 8K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 24 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 65.9 GB | ✗ No | — |
| Q8_0 | 35.9 GB | ✗ No | — |
| Q6_K | 28.1 GB | ✗ No | — |
| Q5_K_M | 24.6 GB | ✗ No | — |
| Q4_K_M | 21.2 GB | ✓ Yes | 8K |
| Q3_K_M | 15.5 GB | ✓ Yes | 32K |
| Q2_K | 12.4 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| EXAONE 3.5 32B | Q4_K_M · 19.32 GB · ~28 tok/s (est.) |
| EXAONE 3.5 7.8B | Q4_K_M · 4.70925 GB · ~84 tok/s (est.) |
| EXAONE 3.5 2.4B | Q4_K_M · 1.449 GB · ~158 tok/s (est.) |
At 2 hrs/day, buying (~$999) beats renting at $0.34/hr after about 4.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~4.7 GB of headroom running EXAONE 3.5 32B at Q4_K_M (19.32 GB, ~28 tok/s (est.)) with room for up to 8K context.
EXAONE 3.5 32B at Q4_K_M quantization (19.32 GB), estimated ~28 tokens/sec, up to 8K context.
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