Models › gemma-4-26B-A4B-it-qat-q4_0-unquantized

gemma-4-26B-A4B-it-qat-q4_0-unquantized: VRAM needs and speed by GPU

At UD-Q4_K_XL, gemma-4-26B-A4B-it-qat-q4_0-unquantized needs about 15.7 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.

25.23B parameters (mixture-of-experts, ~3.9B active) · license: apache-2.0 · 262,144-token context · GGUF published Jun 5, 2026 · GGUF files on Hugging Face

Memory needed per quantization

QuantFile sizeNeeds (estimate)Smallest card it fits
UD-Q4_K_XL14.2 GB15.7 GB24 GB cards

Expected speed on popular hardware

HardwareBest quant that fitsExpected tok/s
NVIDIA RTX 3060Does not fit
NVIDIA RTX 4060 TiDoes not fit
NVIDIA RTX 3090UD-Q4_K_XL150 estimate
NVIDIA RTX 4090UD-Q4_K_XL166 estimate
NVIDIA RTX 5090UD-Q4_K_XL262 estimate
AMD Radeon RX 7900 XTXUD-Q4_K_XL167 estimate
Apple M4 Pro (20-core GPU) (64 GB)UD-Q4_K_XL52.8 estimate
Apple M3 Max (40-core GPU) (64 GB)UD-Q4_K_XL77.1 estimate
AMD Ryzen AI Max+ 395 (Radeon 8060S)UD-Q4_K_XL47.4 estimate

Check your own card

Too big for your card?

Run gemma-4-26B-A4B-it-qat-q4_0-unquantized on a rented 24-80 GB GPU by the hour.

Rent a bigger GPU on RunPod

Affiliate link: if you sign up, RigBench may earn a referral credit. It never affects rankings or numbers.