MetaLlama 3.2 1B Instruct on AMD Radeon RX 9060 XT 16GB
Yes — AMD Radeon RX 9060 XT 16GB handles Llama 3.2 1B Instruct well at Q8_0 — 106 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
1.24B
Device VRAM
16 GB
Bandwidth
320 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on AMD Radeon RX 9060 XT 16GB at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 106 tok/s | 40ms | ✓ Yes | Good | estimated |
Notes
Q8_0
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q8_0 fits in VRAM on this card.
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.
View all Llama 3.2 1B Instruct hardware options →About AMD Radeon RX 9060 XT 16GB
AMD Radeon RX 9060 XT 16GB has 16 GB at 320 GB/s. Street price: $349.
See all models AMD Radeon RX 9060 XT 16GB 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.