MicrosoftPhi-3 Medium 14B Instruct on AMD Radeon RX 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB cannot run Phi-3 Medium 14B Instruct. 8 GB VRAM is insufficient at any quantization level.
Model Size
14B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-3 Medium 14B Instruct on AMD Radeon RX 9060 XT 8GB at Q5_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | – | – | ✗ Offload | Not viable | 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. Does not fit in 8GB VRAM (9.7GB required for Q5_K_M).
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 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB has 8 GB at 256 GB/s. Street price: $299.
See all models AMD Radeon RX 9060 XT 8GB can run →Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-05-26)
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.