Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~6.6 GB of headroom running StarCoder 2 15B at Q4_K_M (9.358125 GB, ~36 tok/s (est.)) with room for up to 16K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 16 GB |
| Memory Bandwidth | 448 GB/s |
| Quant | VRAM needed | Fits 16 GB? | Max context |
|---|---|---|---|
| F16 | 32.1 GB | ✗ No | — |
| Q8_0 | 17.6 GB | ✗ No | — |
| Q6_K | 13.8 GB | ✓ Yes | 16K |
| Q5_K_M | 12.1 GB | ✓ Yes | 16K |
| Q4_K_M | 10.5 GB | ✓ Yes | 16K |
| Q3_K_M | 7.7 GB | ✓ Yes | 16K |
| Q2_K | 6.2 GB | ✓ Yes | 16K |
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.
| StarCoder 2 15B | Q4_K_M · 9.358125 GB · ~36 tok/s (est.) |
| StarCoder 2 7B | Q4_K_M · 4.347 GB · ~70 tok/s (est.) |
| StarCoder 2 3B | Q4_K_M · 1.81125 GB · ~136 tok/s (est.) |
At 2 hrs/day, buying (~$429) beats renting at $0.34/hr after about 21 months.
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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 ~6.6 GB of headroom running StarCoder 2 15B at Q4_K_M (9.358125 GB, ~36 tok/s (est.)) with room for up to 16K context.
StarCoder 2 15B at Q4_K_M quantization (9.358125 GB), estimated ~36 tokens/sec, up to 16K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| StarCoder 2 15B | 9.4 GB | Runs | ~36 tok/s |
| StarCoder 2 7B | 4.3 GB | Runs | ~70 tok/s |
| StarCoder 2 3B | 1.8 GB | Runs | ~136 tok/s |
← Can I Run It? | StarCoder 2 Model Page | NVIDIA GeForce RTX 5060 Ti 16GB GPU Page | Check Your Hardware