Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
No. Qwen 2.5 72B Instruct needs 43.5 GB at Q4_K_M and the NVIDIA GeForce RTX 4080 Super has only 16 GB. No quantization we publish closes a gap that size.
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| Model | Qwen 2.5 72B Instruct |
| Parameters | 72B |
| Quantization | Q4_K_M |
| VRAM needed | 43.5 GB |
| NVIDIA GeForce RTX 4080 Super VRAM | 16 GB |
| Verdict | Does not fit |
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 146.1 GB | ✗ No | — | — |
| Q8_0 | 78.6 GB | ✗ No | — | — |
| Q6_K | 61.2 GB | ✗ No | — | — |
| Q5_K_M | 53.2 GB | ✗ No | — | — |
| Q4_K_M | 45.6 GB | ✗ No | — | — |
| Q3_K_M | 32.8 GB | ✗ No | — | — |
| Q2_K | 25.8 GB | ✗ No | — | — |
Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4080 Super: 8K 47 GB ✗ · 32K 55 GB ✗ · 128K 87.2 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Either step down to a smaller size in this family, or move to a NVIDIA RTX 6000 Ada Generation (48 GB), the cheapest card we track with enough VRAM.
No compatible GPU? Qwen 2.5 Family on 8 GB of system RAM, CPU only: runs, but it is tight.
Cheapest card we track with enough VRAM for Qwen 2.5 72B Instruct:
Qwen 2.5 72B Instruct needs ~43 GB but this GPU has 16 GB. Rent a A100 (80 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All Qwen 2.5 Family sizes on the NVIDIA GeForce RTX 4080 Super | Qwen 2.5 72B Instruct model page | NVIDIA GeForce RTX 4080 Super GPU page | Check your hardware