Yes — the Ryzen AI Max 390 64GB (48 GB LPDDR5X) can run Qwen2.5-7B-Instruct. At Q4 with the default 8K context it needs ≈ 6.7 GB VRAM (weights 4.18 GB + KV cache 1.52 GB + 1 GB runtime overhead), which fits within 48 GB. Decode at Q4/8K: ≈ 18.0 tok/s (estimated, batch 1). FP16 (≈ 17.72 GB) also fits, at ≈ 5.0 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.
Fit & speed by quant and context
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
5.94 GB
Yes
18.0est.
Q4
8K default
6.7 GB
Yes
18.0est.
Q4
32K
11.26 GB
Yes
18.0est.
FP16
4K
16.96 GB
Yes
5.0est.
FP16
8K default
17.72 GB
Yes
5.0est.
FP16
32K
22.28 GB
Yes
5.0est.
Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).