Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~7.7 GB of headroom running OLMo 2 13B Instruct at Q4_K_M (8.271374999999999 GB, ~57 tok/s (est.)) with room for up to 4K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 16 GB |
| Memory Bandwidth | 896 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 31.6 GB | ✗ No | — |
| Q8_0 | 18.7 GB | ✗ No | — |
| Q6_K | 15.4 GB | ✓ Yes | 4K |
| Q5_K_M | 13.9 GB | ✓ Yes | 4K |
| Q4_K_M | 12.4 GB | ✓ Yes | 4K |
| Q3_K_M | 10 GB | ✓ Yes | 4K |
| Q2_K | 8.7 GB | ✓ Yes | 4K |
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.
| OLMo 2 13B Instruct | Q4_K_M · 8.271374999999999 GB · ~57 tok/s (est.) |
| OLMo 2 7B Instruct | Q4_K_M · 4.407375 GB · ~92 tok/s (est.) |
At 2 hrs/day, buying (~$749) beats renting at $0.34/hr after about 3.1 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 ~7.7 GB of headroom running OLMo 2 13B Instruct at Q4_K_M (8.271374999999999 GB, ~57 tok/s (est.)) with room for up to 4K context.
OLMo 2 13B Instruct at Q4_K_M quantization (8.271374999999999 GB), estimated ~57 tokens/sec, up to 4K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| OLMo 2 13B Instruct | 8.3 GB | Runs | ~57 tok/s |
| OLMo 2 7B Instruct | 4.4 GB | Runs | ~92 tok/s |
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