作者： Jakub Rusinowski · 最后更新： 2025年1月28日
Yes, comfortably — you'll have ~9.5 GB of headroom running Mistral Small 3 (24B) at Q4_K_M (14.5 GB, ~65 tok/s (est.)) with room for up to 32K context.
在亚马逊查看价格 — NVIDIA GeForce RTX 3090 24GB
| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 49.7 GB | ✗ No | — |
| Q8_0 | 27.2 GB | ✗ No | — |
| Q6_K | 21.4 GB | ✓ Yes | 8K |
| Q5_K_M | 18.7 GB | ✓ Yes | 16K |
| Q4_K_M | 16.2 GB | ✓ Yes | 32K |
| Q3_K_M | 12 GB | ✓ Yes | 32K |
| Q2_K | 9.6 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.
| Mistral Small 3 (24B) | Q4_K_M · 14.5 GB · ~65 tok/s (est.) |
| Mistral NeMo 12B | Q4_K_M · 8.5 GB · ~110 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 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 ~9.5 GB of headroom running Mistral Small 3 (24B) at Q4_K_M (14.5 GB, ~65 tok/s (est.)) with room for up to 32K context.
Mistral Small 3 (24B) at Q4_K_M quantization (14.5 GB), estimated ~65 tokens/sec, up to 32K context.
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