This page answers Ibm Granite Granite 3.3 2B Instruct q4 quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.
Short answer: Ibm Granite Granite 3.3 2B Instruct typically needs around 1GB VRAM at Q4, and 2GB is safer for smoother usage.
Exact Q4 requirement from model requirement data.
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 | 916 tok/s | View full compatibility | Buy options |
| NVIDIA H200 SXM 141GB | 141GB | Q4 | 827 tok/s | View full compatibility | Buy options |
| NVIDIA H100 SXM5 80GB | 80GB | Q4 | 594 tok/s | View full compatibility | Buy options |
| AMD Instinct MI250X | 128GB | Q4 | 573 tok/s | View full compatibility | Buy options |
| NVIDIA H100 PCIe 80GB | 80GB | Q4 | 377 tok/s | View full compatibility | Buy options |
| RTX 5090 | 32GB | Q4 | 360 tok/s | View full compatibility | Buy options |
| NVIDIA A100 80GB SXM4 | 80GB | Q4 | 350 tok/s | View full compatibility | Buy options |
| AMD Instinct MI210 | 64GB | Q4 | 285 tok/s | View full compatibility | Buy options |
| NVIDIA A100 40GB PCIe | 40GB | Q4 | 273 tok/s | View full compatibility | Buy options |
| RTX 4090 | 24GB | Q4 | 216 tok/s | View full compatibility | Buy options |
| NVIDIA RTX 6000 Ada | 48GB | Q4 | 214 tok/s | View full compatibility | Buy options |
| NVIDIA L40 | 48GB | Q4 | 199 tok/s | View full compatibility | Buy options |
Ibm Granite Granite 3.3 2B Instruct at Q4 is estimated to require about 1GB VRAM minimum, with 2GB 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.
Q4 is a balance point between memory usage and quality. If your GPU is below 1GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.