Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
No. Gemma 3 27B Instruct needs 16.3 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 | Gemma 3 27B Instruct |
| Parameters | 27B |
| Quantization | Q4_K_M |
| VRAM needed | 16.3 GB |
| NVIDIA GeForce RTX 4080 Super VRAM | 16 GB |
| Verdict | Does not fit |
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 59 GB | ✗ No | — | — |
| Q8_0 | 33.6 GB | ✗ No | — | — |
| Q6_K | 27.1 GB | ✗ No | — | — |
| Q5_K_M | 24.1 GB | ✗ No | — | — |
| Q4_K_M | 21.3 GB | ✗ No | — | — |
| Q3_K_M | 16.5 GB | ✗ No | — | — |
| Q2_K | 13.8 GB | ✓ Yes | 4K | — |
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 25.4 GB ✗ · 32K 50.4 GB ✗ · 128K 150.2 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 AMD Radeon RX 7900 XT (20 GB), the cheapest card we track with enough VRAM.
No compatible GPU? Gemma 3 27B Instruct on 32 GB of system RAM, CPU only: runs comfortably.
Cheapest card we track with enough VRAM for Gemma 3 27B Instruct:
Gemma 3 27B Instruct needs ~16 GB but this GPU has 16 GB. Rent a RTX 4090 (24 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 Gemma 3 sizes on the NVIDIA GeForce RTX 4080 Super | Gemma 3 27B Instruct model page | NVIDIA GeForce RTX 4080 Super GPU page | Check your hardware