作者： Jakub Rusinowski · 最后更新： 2026年7月12日
These figures are for DeepSeek-R1-Distill-Qwen-14B, a distill of Qwen2.5-14B — 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 ~7.5 GB of headroom running DeepSeek R1 Distill Qwen 14B at Q4_K_M (8.4525 GB, ~4 tok/s (est.)) with room for up to 32K context.
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| VRAM | 16 GB unified memory |
| Memory Bandwidth | 68 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 29.5 GB | ✗ No | — |
| Q8_0 | 16.3 GB | ✗ No | — |
| Q6_K | 13 GB | ✓ Yes | 16K |
| Q5_K_M | 11.4 GB | ✓ Yes | 16K |
| Q4_K_M | 9.9 GB | ✓ Yes | 32K |
| Q3_K_M | 7.4 GB | ✓ Yes | 32K |
| Q2_K | 6.1 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 16 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| DeepSeek R1 Distill Qwen 14B | Q4_K_M · 8.4525 GB · ~4 tok/s (est.) |
| DeepSeek R1 Distill Llama 8B | Q4_K_M · 4.83 GB · ~7 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 ~7.5 GB of headroom running DeepSeek R1 Distill Qwen 14B at Q4_K_M (8.4525 GB, ~4 tok/s (est.)) with room for up to 32K context.
DeepSeek R1 Distill Qwen 14B at Q4_K_M quantization (8.4525 GB), estimated ~4 tokens/sec, up to 32K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| DeepSeek R1 (671B) | 405.1 GB | Does not fit | — |
| DeepSeek R1 Distill Qwen 32B | 19.3 GB | Runs at Q2_K | — |
| DeepSeek R1 Distill Llama 8B | 4.8 GB | Runs | ~7 tok/s |
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