all-MiniLM-L6-v2 on AMD Radeon RX 9060 XT 8GB
Yes — AMD Radeon RX 9060 XT 8GB runs all-MiniLM-L6-v2 excellently at FP16. 8 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on AMD Radeon RX 9060 XT 8GB at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | – | ✓ Yes | Excellent | estimated |
Notes
FP16
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. FP16 fits in VRAM on this card.
About all-MiniLM-L6-v2
all-MiniLM-L6-v2 (23M) is a embeddings, ai building model. Ultra-lightweight embedding model at 23M params. Fastest option for local embeddings. Lower quality than nomic-embed but practically free in VRAM. Ideal when running alongside large coding models and every MB of VRAM matters. The tiny model for builders who need RAG without the VRAM cost.
View all all-MiniLM-L6-v2 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 model VRAM requirements and AMD runtime maturity. 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.