作者： Jakub Rusinowski · 最后更新： 2026年7月21日
Yes, comfortably — you'll have ~28.5 GB of headroom running Aya Expanse 32B at Q4_K_M (19.501125 GB, ~36 tok/s (est.)) with room for up to 64K context.
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| VRAM | 48 GB |
| Memory Bandwidth | 864 GB/s |
| Quant | VRAM needed | Fits 48 GB? | Max context |
|---|---|---|---|
| F16 | 66.1 GB | ✗ No | — |
| Q8_0 | 35.8 GB | ✓ Yes | 64K |
| Q6_K | 28 GB | ✓ Yes | 64K |
| Q5_K_M | 24.4 GB | ✓ Yes | 64K |
| 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 48 GB. 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 · ~36 tok/s (est.) |
| Aya Expanse 8B | Q4_K_M · 4.8481125 GB · ~111 tok/s (est.) |
At 2 hrs/day, buying (~$7,499) beats renting at $0.34/hr after about 30.6 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 ~28.5 GB of headroom running Aya Expanse 32B at Q4_K_M (19.501125 GB, ~36 tok/s (est.)) with room for up to 64K context.
Aya Expanse 32B at Q4_K_M quantization (19.501125 GB), estimated ~36 tokens/sec, up to 64K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Aya Expanse 32B | 19.5 GB | Runs | ~36 tok/s |
| Aya Expanse 8B | 4.8 GB | Runs | ~111 tok/s |
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