community pool / model answer
nvidia_Nemotron-Cascade-2-30B-A3B-GGUF
chat · bartowski/nvidia_Nemotron-Cascade-2-30B-A3B-GGUF
164.9 tok/s · model median · 16 runs in the model record.
| Reference rig | Quantization | Median result | Basis | TTFT (ms) | Peak VRAM | Max context | Engines |
|---|---|---|---|---|---|---|---|
| Arc Pro B70 32GB | 4-bit | 50.9 tok/s | reported | 449 | - GB | 2,048 | llama.cpp |
| M1 Max 64GB | 4-bit | 57.5 tok/s | reported | 50 | - GB | 2,048 | ollama |
| Minisforum UM790 Pro 64GB | 4-bit | 24.8 tok/s | reported | - | - GB | 2,048 | llama.cpp |
| Radeon 890M 32GB | 4-bit | 21.5 tok/s | reported | 1,430 | - GB | 2,048 | llama.cpp |
| RTX 3090 24GB | 4-bit | 190.3 tok/s | measured | 1,769 | - GB | 131,072 | llama.cpp |
| Ryzen AI Max 385 24GB | 4-bit | 21.4 tok/s | reported | 1,430 | - GB | 2,048 | llama.cpp |
Context tested
The table above is the tested context for each exact rig and quantization cell. Empty fields remain empty rather than being filled with an estimate.