Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
Yes, but it's tight — Mistral Small 4 119B-A6.5B at Q4_K_M needs 71.84625 GB of the NVIDIA H100 80GB's 80 GB, leaving only ~8.2 GB, ~92 tok/s (est.) with room for up to 16K context.
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| VRAM | 80 GB |
| Memory Bandwidth | 2000 GB/s |
| Quant | VRAM needed | Fits 80 GB? | Max context |
|---|---|---|---|
| F16 | 240.2 GB | ✗ No | — |
| Q8_0 | 128.7 GB | ✗ No | — |
| Q6_K | 99.8 GB | ✗ No | — |
| Q5_K_M | 86.6 GB | ✗ No | — |
| Q4_K_M | 74.1 GB | ✓ Yes | 16K |
| Q3_K_M | 52.9 GB | ✓ Yes | 64K |
| Q2_K | 41.3 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Mistral Small 4 119B-A6.5B | Q4_K_M · 71.84625 GB · ~92 tok/s (est.) |
At 2 hrs/day, buying (~$25,000) beats renting at $0.77/hr after about 45.1 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, but it's tight — Mistral Small 4 119B-A6.5B at Q4_K_M needs 71.84625 GB of the NVIDIA H100 80GB's 80 GB, leaving only ~8.2 GB, ~92 tok/s (est.) with room for up to 16K context.
Mistral Small 4 119B-A6.5B at Q4_K_M quantization (71.84625 GB), estimated ~92 tokens/sec, up to 16K context.
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