MistralMistral Large 2 123B on Apple M4 Max (64GB Unified)
M4 Max (64GB Unified) runs Mistral Large 2 123B at Q2_K — 5 tok/s with partial CPU offloading. Slow but functional — see all options below.
Model Size
123B
Device VRAM
64 GB
Bandwidth
546 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Mistral Large 2 123B on Apple M4 Max (64GB Unified) at Q2_K. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | 5 tok/s | 1500ms | ✓ Yes | Marginal | estimated |
Notes
Q2_K
Heavy quantization required. Some offloading likely. Marginal but usable for testing.
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 Apple M4 Max (64GB Unified)
Apple M4 Max (64GB Unified) has 64 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.
See all models Apple M4 Max (64GB Unified) can run →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.