Can the GeForce RTX 5080 run Gemma 4 26B-A4B IT?
Fits, tight on context at Q4_K_M.
Gemma 4 26B-A4B IT is 25.8B parameters (MoE; all experts resident). At Q4_K_M the weights are about 14.4 GiB; with the 1.5 GiB runtime reserve that is 15.9 GiB against the card's 16GB, leaving about 0.1 GiB for context.
All three quants
16GB card| Quant | Weights | With reserve | Verdict | Headroom |
|---|---|---|---|---|
| Q4_K_Mthe everyday quant | 14.4 GiB | 15.9 GiB | Fits, tight on context | 0.1 GiB |
| Q8_0near-lossless | 25.5 GiB | 27.0 GiB | Only with CPU offload | short 11.0 GiB |
| FP16full weights | 48.1 GiB | 49.6 GiB | Does not fit | short 33.6 GiB |
Verdict rules: fits comfortably when weights plus reserve sit within 85% of VRAM; tight when they fit with little left for context; CPU offload when they exceed VRAM by up to 2x (runs, slowly, with layers in system RAM); no beyond that. The KV cache per token depends on the model's architecture and is not modelled here.
The numbers for this pairing
At Q4_K_M the weights take about 14.4 GiB; with the 1.5 GiB we set aside for the runtime that is 15.9 of the card's 16 GB, leaving about 0.1 GB for the context cache.
It is a mixture-of-experts model: about 3.8B of its 25.8B parameters work on each token, which helps speed, but all of them still have to fit in memory.
The cheapest card on our list that runs it comfortably at Q4 is the Radeon RX 7900 XTX at about $850, against about $1,600 for this card.
At about $1,600, this card costs roughly $100 per GB of VRAM.
Running it at its full 360 W board power for 4 hours a day would use about 43 kWh a month, about $7.95 at the US average residential rate of 18.4 cents per kWh (2026-05); real use sits below that ceiling.
Prices are the lowest current listings our tracker saw on Oct 7, 2026, since averages include premium variants; launch prices are marked where we have no listing.
Good match. Get the card.
The GeForce RTX 5080 clears Gemma 4 26B-A4B IT at Q4_K_M. Live listings below; this page was rebuilt 2026-10-07.
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About the model
Gemma 4 26B-A4B IT by Google: 262,144-token native context, text + vision, released 2026 under the Apache-2.0. Model card → · Hosted pricing on PicksByModel →