Yi 1.5 34B Chat on AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX runs Yi 1.5 34B Chat at Q4_K_M. Usable on 24 GB VRAM — see full quantization options below.
Model Size
34.4B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Yi 1.5 34B Chat on AMD Radeon RX 7900 XTX at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | – | – | ✓ Yes | Acceptable | estimated |
Notes
Q4_K_M
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q4_K_M fits in VRAM on this card.
About Yi 1.5 34B Chat
Yi 1.5 34B Chat (34.4B) is a chat, reasoning, multi-purpose model. 01.AI's 34B model with multilingual chat and reasoning.
View all Yi 1.5 34B Chat 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 model VRAM requirements and AMD runtime maturity. 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.