作者： Jakub Rusinowski · 最后更新： 2026年7月12日
These figures are for DeepSeek-R1-Distill-Qwen-32B, a distill of Qwen2.5-32B — not the full DeepSeek R1. The full DeepSeek R1 (671B) needs about 405 GB of weights at Q4_K_M and is a different model.
Yes, comfortably — you'll have ~4.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~27 tok/s (est.)) with room for up to 8K context.
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| VRAM | 24 GB |
| Memory Bandwidth | 936 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.
| DeepSeek R1 Distill Qwen 32B | Q4_K_M · 19.32 GB · ~27 tok/s (est.) |
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 8.4525 GB · ~56 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 4.83 GB · ~87 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 ~4.7 GB of headroom running DeepSeek R1 Distill Qwen 32B at Q4_K_M (19.32 GB, ~27 tok/s (est.)) with room for up to 8K context.
DeepSeek R1 Distill Qwen 32B at Q4_K_M quantization (19.32 GB), estimated ~27 tokens/sec, up to 8K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 405.1 GB | Does not fit | — |
| DeepSeek R1 Distill Qwen 14B | 8.5 GB | Runs | ~56 tok/s |
| DeepSeek R1 Distill Llama 8B | 4.8 GB | Runs | ~87 tok/s |
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