作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~12.5 GB of headroom running Aya Expanse 32B at Q4_K_M (19.501125 GB, ~3 tok/s (est.)) with room for up to 64K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 32 GB unified memory |
| Memory Bandwidth | 120 GB/s |
| Quant | VRAM needed | Fits 32 GB? | Max context |
|---|---|---|---|
| F16 | 66.1 GB | ✗ No | — |
| Q8_0 | 35.8 GB | ✗ No | — |
| Q6_K | 28 GB | ✓ Yes | 16K |
| Q5_K_M | 24.4 GB | ✓ Yes | 32K |
| Q4_K_M | 21 GB | ✓ Yes | 64K |
| Q3_K_M | 15.2 GB | ✓ Yes | 64K |
| Q2_K | 12.1 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 32 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Aya Expanse 32B | Q4_K_M · 19.501125 GB · ~3 tok/s (est.) |
| Aya Expanse 8B | Q4_K_M · 4.8481125 GB · ~12 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 ~12.5 GB of headroom running Aya Expanse 32B at Q4_K_M (19.501125 GB, ~3 tok/s (est.)) with room for up to 64K context.
Aya Expanse 32B at Q4_K_M quantization (19.501125 GB), estimated ~3 tokens/sec, up to 64K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Aya Expanse 32B | 19.5 GB | Runs | ~3 tok/s |
| Aya Expanse 8B | 4.8 GB | Runs | ~12 tok/s |
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