Home / Can I run it? / Phi-4 / Phi-4 on an RX 7900 XTX

Yes. Phi-4 at Q8_0 needs about 18.9 GB, and the Radeon RX 7900 XTX has 24.0 GB usable at a ~4k context.

Can I run Phi-4 on an RX 7900 XTX?

Phi-4 at Q8_0 needs about 18.9 GB, and the Radeon RX 7900 XTX has 24.0 GB usable. That figure is 24 GB of VRAM on the spec sheet, of which 24.0 GB is usable for weights and cache, at 960 GB/s memory bandwidth. Microsoft’s Phi-4, a dense 14B-class model often compared with other 12B–14B instruct weights. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q8_0 Fits with headroom

Memory needed

18.9 GB at Q8_0, ~4k context

Usable VRAM

24.0 GB of 24 GB VRAM

Est. tokens/sec

37–52 estimate

phi-4 · Radeon RX 7900 XTX · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 37–52 tokens/sec at Q8_0. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

At Q8_0, this machine has headroom out to about 16k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

• Full hardware list: phi-4. Specs for this machine: Radeon RX 7900 XTX.

Other hardware for Phi-4

• Phi-4 on an RTX 3060 12GBTight
• Phi-4 on an RTX 3070 TiWon’t fit
• Phi-4 on an RTX 3080Won’t fit
• Phi-4 on an RTX 4060 Ti 16GBFits
• Phi-4 on an RTX 4070 Ti SuperFits
• Phi-4 on an RTX 4090Fits

Other models on an RX 7900 XTX

• Qwen3-32B on an RX 7900 XTXTight
• Qwen3-30B-A3B on an RX 7900 XTXTight
• Qwen3.8-27B on an RX 7900 XTXFits
• Gemma 3 27B on an RX 7900 XTXFits
• Gemma 4 31B on an RX 7900 XTXTight
• gpt-oss-20b on an RX 7900 XTXFits