This page answers Minimaxai Minimax M1 40K q3_k_s quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Minimaxai Minimax M1 40K typically needs around 15GB VRAM at Q3_K_S, and 18GB is safer for smoother usage.
Estimated from Q4 using a 28% memory reduction assumption for Q3_K_S.
Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.
Need general guidance? Review full methodology.
| GPU | VRAM | Quantization | Speed | Compatibility | Buy |
|---|---|---|---|---|---|
| AMD Instinct MI300X | 192GB | Q4 | 267 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | Q4 | 241 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | Q4 | 173 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | Q4 | 167 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | Q4 | 110 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | Q4 | 105 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | Q4 | 102 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | Q4 | 83 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | Q4 | 80 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | Q4 | 63 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | Q4 | 62 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | Q4 | 58 tok/s | View full compatibility | Buy options |
Minimaxai Minimax M1 40K at Q3_K_S is estimated to require about 15GB VRAM minimum, with 18GB recommended for smoother operation.
Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.
Q3_K_S is a balance point between memory usage and quality. If your GPU is below 15GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.