MistralMistral Large 2 123B on AMD Radeon RX 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB cannot run Mistral Large 2 123B. 8 GB VRAM is insufficient at any quantization level.
Model Size
123B
Device VRAM
8 GB
Bandwidth
256 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Large 2 123B on AMD Radeon RX 9060 XT 8GB 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
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q2_K needs ~45GB and relies on offloading on this card. Does not fit in 8GB VRAM (45GB required for Q2_K).
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 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB has 8 GB at 256 GB/s. Street price: $299.
See all models AMD Radeon RX 9060 XT 8GB can run →Estimate method: Estimated from model VRAM requirements and AMD runtime maturity. Reference hardware source: github.com (2026-05-26)
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.