Can an NVIDIA RTX 5000 Ada Generation run gemma-4-26B-A4B-it?
Yes. gemma-4-26B-A4B-it needs 23.6GB at UD-Q5_K_M with llama.cpp and 8K context; the NVIDIA RTX 5000 Ada Generation has 32GB of VRAM (31.5GB usable) — grade B, with decode speed in the interactive tier.
NVIDIA RTX 5000 Ada Generation · gemma-4-26B-A4B-it · UD-Q5_K_M
✅ Fits — grade B
InteractivebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars
weights 21.1 GBKV cache 2.01 GBoverhead 0.44 GBpool 31.5 GBneeds 23.6 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$4,000 MSRP · as of 2026-07-08
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Every quant, graded
NVIDIA RTX 5000 Ada Generation × gemma-4-26B-A4B-it, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 26.9 GB | Tight · C | interactive · beta |
| UD-Q5_K_M | 21.1 GB | Fits · B | interactive · beta |
| UD-Q4_K_M | 16.9 GB | Fits · A+ | interactive · beta |
| MXFP4_MOE | 16.6 GB | Fits · A+ | interactive · beta |
gemma-4-26B-A4B-it on similar hardware
More models on the NVIDIA RTX 5000 Ada Generation
Verdict computed from published specs and measured GGUF file sizes — see how the math works.