Phi-3 Medium 14B Instruct on AMD Radeon RX 9070

Yes — AMD Radeon RX 9070 handles Phi-3 Medium 14B Instruct well at Q5_K_M — 50 tok/s. Solid daily-driver performance on 16 GB VRAM.

Model Size

14B

Device VRAM

16 GB

Bandwidth

640 GB/s

Quantization

Q5_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Phi-3 Medium 14B Instruct on AMD Radeon RX 9070 at Q5_K_M. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q5_K_M	50 tok/s	142ms	✓ Yes	Good	estimated

Notes

Q5_K_M

RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q5_K_M fits in VRAM on this card.

About Phi-3 Medium 14B Instruct

Phi-3 Medium 14B Instruct (14B) is a chat, coding, reasoning, multi-purpose model. 14B model with capable reasoning and coding performance. Fits comfortably on 16 GB GPUs at Q4 and excels at structured output tasks. MIT license makes it attractive for commercial use.

View all Phi-3 Medium 14B Instruct hardware options →

About AMD Radeon RX 9070

AMD Radeon RX 9070 has 16 GB at 640 GB/s. Street price: $549.

See all models AMD Radeon RX 9070 can run →

Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-04-18)

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.