MicrosoftPhi-3 Mini 3.8B Instruct on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX handles Phi-3 Mini 3.8B Instruct well at Q8_0 — 112 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
3.82B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-3 Mini 3.8B Instruct on AMD Radeon RX 7900 XTX at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 112 tok/s | 47ms | ✓ Yes | Good | estimated |
Notes
Q8_0
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q8_0 fits in VRAM on this card.
About Phi-3 Mini 3.8B Instruct
Phi-3 Mini 3.8B Instruct (3.82B) is a chat, coding, reasoning model. Punches above its weight: a 3.8B model that rivals many 7B models on reasoning benchmarks. MIT license. Well suited for resource-constrained setups or as a fast secondary model.
View all Phi-3 Mini 3.8B Instruct hardware options →About AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-4090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.