all-MiniLM-L6-v2 on AMD Radeon RX 7600
Yes — AMD Radeon RX 7600 runs all-MiniLM-L6-v2 excellently at FP16 — 500 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
23M
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on AMD Radeon RX 7600 at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | 500 tok/s | 15ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. 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 7600
AMD Radeon RX 7600 has 8 GB at 288 GB/s. Street price: $239.
See all models AMD Radeon RX 7600 can run →Estimate method: Estimated from rtx-4060-8gb 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.