QwenQwen3.5-122B-A10B on AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX cannot run Qwen3.5-122B-A10B. 24 GB VRAM is insufficient at any quantization level.
Model Size
122B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-122B-A10B on AMD Radeon RX 7900 XTX at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 3 tok/s | 3172ms | ✗ Offload | Marginal | estimated |
Notes
Q3_K_M
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q3_K_M needs ~28.0GB and relies on offloading on this card. MoE models still have to load the full expert pool into memory.
About Qwen3.5-122B-A10B
Qwen3.5-122B-A10B (122B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mixture-of-Experts with 122B total parameters but only 10B active per token. Runs on far less VRAM than the total size suggests. Qwen's best open-weight MoE in the medium tier; excels at knowledge-heavy and vision tasks. Native multimodal. Apache 2.0 licensed.
View all Qwen3.5-122B-A10B 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-3090 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.