TokenAssemble

Can an Intel Arc B580 run gemma-4-26B-A4B-it?

Yes, with CPU offload. gemma-4-26B-A4B-it needs 19.0GB at MXFP4_MOE with llama.cpp and 8K context; the Intel Arc B580 has 12GB of VRAM (11.5GB usable), so part of the model spills to system RAM — it loads, but expect the interactive speed tier.

Intel Arc B580 · gemma-4-26B-A4B-it · MXFP4_MOE

⚠️ Tight — grade C

InteractivebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars · CPU offload — speed varies heavily with layer split · ROCm/Vulkan performance not yet calibrated
weights 16.6 GBKV cache 2.01 GBoverhead 0.44 GBpool 11.5 GBneeds 19.0 GB — spills to system RAM

assumes llama.cpp · batch 1 · 8K context · fp16 KV cache · 64GB system RAM (CPU offload)

$249 MSRP · as of 2026-07-08

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Every quant, graded

Intel Arc B580 × gemma-4-26B-A4B-it, llama.cpp, 8K context.

QuantFile sizeFitSpeed tier
Q8_026.9 GBTight · Cusable · offload · beta
UD-Q5_K_M21.1 GBTight · Cusable · offload · beta
UD-Q4_K_M16.9 GBTight · Cinteractive · offload · beta
MXFP4_MOE16.6 GBTight · Cinteractive · offload · beta

gemma-4-26B-A4B-it on similar hardware

More models on the Intel Arc B580

Verdict computed from published specs and measured GGUF file sizes — see how the math works.