MistralMistral Large 2 123B on NVIDIA GeForce RTX 4090
RTX 4090 cannot run Mistral Large 2 123B. 24 GB VRAM is insufficient at any quantization level.
Model Size
123B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Large 2 123B on NVIDIA GeForce RTX 4090 at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | 3 tok/s | 3000ms | ✗ Offload | Marginal | estimated |
Notes
Q2_K
Single 24GB GPU cannot hold 123B even at Q2. Requires CPU offloading. Very slow.
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 NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Community benchmarks. Reference hardware source: github.com (2026-01-15)
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.