all-MiniLM-L6-v2 on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX runs all-MiniLM-L6-v2 excellently at FP16 — real-time capable. 24 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on AMD Radeon RX 7900 XTX at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 3ms | ✓ Yes | Excellent | estimated |
Notes
FP16
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. 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 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.