Can an NVIDIA GeForce RTX 3090 Ti run gemma-4-26B-A4B-it?
Yes. gemma-4-26B-A4B-it needs 19.4GB at UD-Q4_K_M with llama.cpp and 8K context; the NVIDIA GeForce RTX 3090 Ti has 24GB of VRAM (23.5GB usable) — grade B, with decode speed in the interactive tier.
NVIDIA GeForce RTX 3090 Ti · gemma-4-26B-A4B-it · UD-Q4_K_M
✅ Fits — grade B
InteractivebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars
weights 16.9 GBKV cache 2.01 GBoverhead 0.44 GBpool 23.5 GBneeds 19.4 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,999 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA GeForce RTX 3090 Ti × gemma-4-26B-A4B-it, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 26.9 GB | Tight · C | interactive · offload · beta |
| UD-Q5_K_M | 21.1 GB | Tight · C | interactive · offload · beta |
| UD-Q4_K_M | 16.9 GB | Fits · B | interactive · beta |
| MXFP4_MOE | 16.6 GB | Fits · B | interactive · beta |
gemma-4-26B-A4B-it on similar hardware
More models on the NVIDIA GeForce RTX 3090 Ti
Verdict computed from published specs and measured GGUF file sizes — see how the math works.