MistralMistral Large 2 123B on AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX cannot run Mistral Large 2 123B. 24 GB VRAM is insufficient at any quantization level.
Model Size
123B
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Large 2 123B on AMD Radeon RX 7900 XTX at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. Q2_K needs ~45GB and relies on offloading on this card.
About Mistral Large 2 123B
Mistral Large 2 123B (123B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mistral's flagship 123B parameter model. Wide multilingual performance and code generation. 128K context window. Requires multi-GPU or high-memory Apple Silicon for home use. At Q3/Q2, fits on 2x RTX 4090 or 64 GB+ Apple Silicon.
View all Mistral Large 2 123B 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.