Can I run it?

Can I run gemma 4 26B A4B it on Radeon RX 7900 XTX?

Tight fit

Tight fit fully on your Radeon RX 7900 XTX at UD-Q5_K_XL, 8K context, about 98–134 tok/s. Weights 19.8 GB plus 0.51 GB of KV cache — 20.8 GB of 22.3 GB usable. Up to 32K context still fits.

gemma 4 26B A4B it details · Radeon RX 7900 XTX page · How this estimate is made

Run commands

llama-server -hf unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q5_K_XL -c 8192 -ngl 30

ollama run gemma

lms get unsloth/gemma-4-26B-A4B-it-GGUF
# Then load quant UD-Q5_K_XL

Assumptions

• Estimate, not a benchmark. Decode speed uses a memory-bandwidth model at 55–75% of peak.
• KV cache is FP16. Engine overhead assumes llama.cpp (0.3 GB + 1% of the weights). Ollama is closer to 0.9 GB + 3%, LM Studio closer to 1 GB + 3%.
• UD-Q5_K_XL size is the real GGUF file size from Hugging Face.
• 0.5 GB is reserved because this GPU also drives a display, then 5% of the rest is left free.
• Speed is quoted at 8K context, not at the maximum context that still fits.

Larger models that also fit

• Can I run Qwen3.8 27B on Radeon RX 7900 XTX? — Tight fit, UD-Q6_K, 23–32 tok/s
• Can I run Qwen3.6 35B A3B on Radeon RX 7900 XTX? — Tight fit, UD-Q4_K_XL, 251–342 tok/s
• Can I run Qwen3.8 35B A3B Distill on Radeon RX 7900 XTX? — Tight fit, Q4_K_M, 264–360 tok/s

Updated 2026-10-24. Profile on this page is the device default plus 32 GB of DDR5-5600 system RAM.