Can a Framework Desktop Ryzen AI Max+ 395 64GB run gemma-4-26B-A4B-it?
Yes. gemma-4-26B-A4B-it needs 29.3GB at Q8_0 with llama.cpp and 8K context; the Framework Desktop Ryzen AI Max+ 395 64GB has 64GB of unified memory (~75% GPU-addressable) (47.5GB usable) — grade A+, with decode speed in the usable tier.
Framework Desktop Ryzen AI Max+ 395 64GB · gemma-4-26B-A4B-it · Q8_0
✅ Fits — grade A+
UsablebetaHybrid attention — KV computed as full-cache upper bound · MoE speed estimate — wide error bars · ROCm/Vulkan performance not yet calibrated
weights 26.9 GBKV cache 2.01 GBoverhead 0.44 GBpool 47.5 GBneeds 29.3 GB
assumes llama.cpp · batch 1 · 8K context · fp16 KV cache
$1,959 MSRP · as of 2026-07-11
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Every quant, graded
Framework Desktop Ryzen AI Max+ 395 64GB × gemma-4-26B-A4B-it, llama.cpp, 8K context.
| Quant | File size | Fit | Speed tier |
|---|---|---|---|
| Q8_0 | 26.9 GB | Fits · A+ | usable · beta |
| UD-Q5_K_M | 21.1 GB | Fits · A+ | 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
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Verdict computed from published specs and measured GGUF file sizes — see how the math works.