Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Yes, comfortably — you'll have ~5.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~64 tok/s (est.)).
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 16 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 41 GB | ✗ No | — |
| Q8_0 | 22.3 GB | ✗ No | — |
| Q6_K | 17.4 GB | ✗ No | — |
| Q5_K_M | 15.2 GB | ✓ Yes | 16K |
| Q4_K_M | 13.1 GB | ✓ Yes | 32K |
| Q3_K_M | 9.5 GB | ✓ Yes | 128K |
| Q2_K | 7.6 GB | ✓ Yes | 128K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| GPT-OSS 20B | MXFP4 · 10.625 GB · ~64 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 ~5.4 GB of headroom running GPT-OSS 20B at MXFP4 (10.625 GB, ~64 tok/s (est.)).
GPT-OSS 20B at MXFP4 quantization (10.625 GB), estimated ~64 tokens/sec.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| GPT-oss 120B | 72.5 GB | Does not fit | — |
| GPT-OSS 20B | 10.6 GB | Runs | ~64 tok/s |
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